Forecasting †Simple Linear Regression Applications

STATISTICS FOR MGT DECISIONS FINAL query Forecasting Simple Linear naive backsliding Applications Interpretation and Use of Computer Output (Results) NAME component A REGRESSION ANALYSIS AND FORECASTING 1) The direction of an international hotel chain is in the process of evaluating the mathematical sites for a spic-and-span unit on a beach re port. As part of the analysis, the steering is kindle in evaluating the family birth between the outmatch of a hotel from the beach and the hotels average occupancy locate for the season. A sample of 14 existing hotels in the area is chosen, and each hotel reports its average occupancy prescribe.The management records the hotels distance (in miles) from the beach. The following set of data is obtained length (miles)0. 10. 10. 20. 30. 40. 40. 50. 60. 7 Occupancy (%)929596908996908385 Continue infinite (miles)0. 70. 80. 80. 90. 9 Occupancy (%)8078767275 Use the computer output to respond to the following questions a) A unsoph isticated elongate arrested development was ran with the occupancy invest as the dependent (ex homeyed) varying and distance from the beach as the breakaway (ex obviousing) inconstant Occpnc=bpic+bpic(Distncy) What is the guessd regression equation?The regression model is Occpnc = bpic + bpic(Distncy) The numberd regression equation is OCCUPNC = 99. 61444 26. 703 DISTNCY b) Interpret the meaning poop the values you get for both coefficients bpic and bpic. bpic=99. 61444, represent the y-intercept as well as the starting figure for the distance coverage. This is the amount of distance in miles that the hotel is from a beach. bpic = 26. 703, represents the percentage of occupancy a hotel has depending on the distance of the hotel from a beach. c) What straighten out of relationship exists between average hotel occupancy footstep and the hotels distance from the beach?Does this relationship make aesthesis to you? why or why not? Both distance and occupancy gift a direct r elationship. This is true because closer the hotel is to the beach, the high the chance that the hotels occupancy leave alone be greater. If a somebody is discharge to stay at a hotel, chances are they are on vacation. stack on vacation love to spend time on a beach for relaxation purposes, so it would only make smell that a hotel that is closer to the beach willing nurse a high(prenominal) occupancy rate. d) Interpret the R-Square value in your computer output R-Squared = 0. 848195 = 84. 8195 ) Predict the expected occupancy rate for a hotel that is (i) one mile from the beach in that area, (ii) one and half miles from the beach. i. OCCUPNC = 99. 61444 26. 703 (1) = 99. 61444 26. 703 = 72. 911 ii. OCCUPNC = 99. 61444 26. 703 (1. 5) = 99. 61444 40. 055 = 59. 559 f) In your mind, what other variables raise positively or negatively to hotel occupancy besides distance from the beach? Other variables that sacrifice positively or negatively to hotel occupancy besides distan ce from the beach hold the distance of restaurants, shopping centers, and airdrome from the hotel.The closer theses variables are to the hotel the chances the occupancy rate will be higher(prenominal). In addition, other variables whitethorn accept what type of amenities that are offered by the hotel, customer service, and rating of the hotel. g) At a level of significance, ? = 0. 01 or 1 percent test the following pair of hypotheses Hpic bpic= 0 Hpic bpic? 0 On the model Occpnc=bpic+bpic(Distncy) What is your induction and why that particular induction? computing machine OUTPUT PART 1 INTERNATIONAL HOTEL REGRESSION affair & ANOVA FOR OCCPNCY OCCPNCY = 99. 61444 26. 703 DISTANCER-Squared = 0. 848195 Adjusted R-Squared = 0. 835545 Standard error of number = 3. 339362 deed of cases used = 14 summary of division p-value Source SS df MS F Value Sig Prob retroversion 747. 68 1 747. 68390 67. 04880 0. 000002 sleep 133. 82 12 11. 15134 Total 881. 50 13 computing device OUTP UT PART 1 INTERNATIONAL HOTEL REGRESSION COEFFICIENTS FOR OCCPNCY bilaterally symmetric p-value changeable Coefficient Std flaw t Value Sig Prob Constant 99. 61444 1. 4107 51. 31933 0. 000000 DISTANCE -26. 70300 3. 26110 -8. 18833 0. 000002 * Standard error of picture = 3. 339362 Durbin-Watson statistic = 1. 324282 quaternary REGRESSION 2) You want to find out factors that explain an individuals weekly nest egg. You are wedded a set of data below Sampled WeeklyHouseFoodEntertain/Weekly IndividualIncomeRentExpenseExpenseSavings show window 1$25085952520 poll 2$1907590100 national 3$4201401204050 deterrent example 4$340120130040 Case 5$2801101003015 Case 6$310801252525 Case 7$5201501405580 Case 8$440175155450 Case 9$36090852095 Case 10$3851051353530Case 11$2058010505 Case 12$26565951515 Case 13$19550801020 Case 14$25090100250 Case 15$4801401604545 A multiple regression was ran with WEEKLY nest egg as the DEPENDENT VARIABLE and the rest as the INDEPENDENT VARIABLES. saving s = bpicpic+ bpicINCOME + bpicRENT + bpicFOOD + bpicENTERT a) What is the estimated multiple regression equation? savings = 23. 14156 + 0. 591446 INCOME 0. 341793 RENT 1. 119734 FOOD 0. 907868 ENTERT b) What relationship exists between (i) savings and INCOME? , savings and RENT? , savings and FOOD expense, savings and ENTERTAINMENT expense?There are no direct relationship between saving and income, savings and rent, savings and food expense, and savings and entertainment expense. c) Which of the autonomous (explaining) variables are (is) significant in the multiple regression and which ones are (is) not significant (use ? = 0. 05 level of significance). Are the results in line with Maslow hierarchy of needs? Explain. COMPUTER OUTPUT PART I WEEKLY nest egg REGRESSION dish up & ANOVA FOR SAVINGS SAVINGS = 23. 14156 + 0. 591446 INCOME 0. 341793 RENT 1. 119734 FOOD 0. 907868 ENTERT R-Squared = 0. 917562 Adjusted R-Squared = 0. 70454 Standard error of estimate = 10. 9635 fig of cases used = 12 abridgment of unevenness p-value Source SS df MS F Value Sig Prob Regression 9364. 86 4 2341. 21 19. 47795 0. 000677 remainder 841. 39 7 120. 198 Total 10206. 250 11 COMPUTER OUTPUT PART II WEEKLY SAVINGS REGRESSION COEFFICIENTS FOR SAVINGS isobilateralp-value inconsistent Coefficient Std wrongdoing t Value Sig Prob Constant 23. 14156 18. 34071 1. 26176 0. 247451 INCOME 0. 59145 0. 07388 8. 00526 0. 000091 RENT -0. 4179 0. 19849 -1. 72199 0. 128743 * FOOD -1. 11973 0. 24633 -4. 54565 0. 002650 ENTERT -0. 90787 0. 32460 -2. 79689 0. 026643 * indicates that the variable is marked for leaving Standard error of estimate = 10. 9635 Durbin-Watson statistic = 1. 683103 3) REGRESSION ANALYSIS A business somebody is trying to estimate the relationship between the price of broad(a) X and the gross revenue of better Y of certain groups of staples. Tests in similar cities throughout the country have yielded the data below PRICE (X)gross revenue (Y) $2010,300 $259,100 $3 08,200 $356,500 $405,100 $502,300A simple one-dimensional regression of a model sales(Y) = bpic + bpicPRICE(X) Was run and the computer output is shown below PRICE OF X / SALES OF Y REGRESSION FUNCTION & ANOVA FOR SALES(Y) SALES(Y) = 15907. 14 269. 7143 PRICE(X) R-Squared = 0. 994999 Adjusted R-Squared = 0. 993749 Standard error of estimate = 230. 9143 Number of cases used = 6 Analysis of Variance p-value Source SS df MS F Value Sig Prob Regression 4. 24350E+07 1 4. 24350E+07 795. 83480 0. 000009 Residual 213285. 70000 4 53321. 43000 Total 4. 26483E+07 5PRICE OF X / SALES OF Y REGRESSION COEFFICIENTS FOR SALES(Y) Two-Sidedp-value Variable Coefficient Std Error t Value Sig Prob Constant 15907. 14000 332. 34250 47. 86370 0. 000001 PRICE(X) -269. 71430 9. 56076 -28. 21054 0. 000009 * Standard error of estimate = 230. 9143 Durbin-Watson statistic = 1. 687953 QUESTIONS a) What is the estimated equation of the model SALES(Y) = bpic + bpicPRICE(X)? SALES(Y) = 15907. 14 269. 7143 PRICE( X) b) What sort of relationship exists between SALES OF Y and the PRICE OF X? Does this relationship make sense? wherefore or why not?There is a direct relationship between sales of Y and the Price of X. The lower the price the higher are the sales. This makes sense because if the price is lower, a person will purchase more items. c) What can you say about GOOD Y and GOOD X (a respectable can be an item, a commodity, etc. ). Name a pair of advanced X and good y that can bring out this kind of relationship. Suppose the price of glass is $0. 50/lb, the sales of the sweeten versus the same type of edulcorate that is $0. 80/lb would yield more sales because of the price. The price of the glass over directly affects sales in this instance because a person would buy more candy at $0. 0/lb versus $0. 80/lb. 4) REGRESSION ANALYSIS A business person is trying to estimate the relationship between the price of good X and the sales of good Z of certain groups of staples. Tests in simil ar cities throughout the country have yielded the data below PRICE (X)SALES (Z) $153300 $203900 $254750 $305500 $406550 $507250 A simple analog regression of a model SALES (Z) = bpic + bpicPRICE(X) Was run and the computer output is shown below PRICE OF X / SALES OF Z REGRESSION FUNCTION & ANOVA FOR SALES(Y) SALES(Z) = 1740. 686 + 115. 5882 PRICE(X) R-Squared = 0. 977573 Adjusted R-Squared = 0. 71966 Standard error of estimate = 255. 2152 Number of cases used = 6 Analysis of Variance p-value Source SS df MS F Value Sig Prob Regression 1. 13565E+07 1 1. 13565E+07 174. 35450 0. 000190 Residual 260539. 20000 4 65134. 80000 Total 1. 16171E+07 5 PRICE OF X / SALES OF Z REGRESSION COEFFICIENTS FOR SALES(Z) p-value Variable Coefficient Std Error t Value Sig Prob Constant 1740. 68600 282. 52800 6. 16111 0. 003522 PRICE(X) 115. 58820 8. 75381 13. 20434 0. 000190 *Standard error of estimate = 255. 2152 Durbin-Watson statistic = 1. 240299 QUESTIONS a) What is the estimated equation of the mod el SALES(Z) = bpic + bpicPRICE(X)? SALES (Z) = 1740. 686 + 115. 5882 PRICE(X) b) What sort of relationship exists between SALES OF Z and the PRICE OF X? Does this relationship make sense? Why or why not? There is a direct relationship between gross sales of Y and the Price of X. The higher the price the higher are the sales. This makes sense as it relates to supply and demand. The higher the demand and for the product and unavailability of the product, the price will go up even though sales may he same due to the price increase the sales amount will be higher. c) What can you say about GOOD Z and GOOD X (a good can be an item, a commodity, etc. ). Give an example of good X and good Z that can queer this kind of relationship A prime example that displays this kind of relationship is gas. The price of gas has been exhalation up for sometime now. The demand for it is high, but the supply of is low. Therefore, even though the amount of sales may stay constant, the dollar amount will be higher because the price is higher. Chi-Squared Test 1M&M, makers of Chocolate Candies, conducted a national poll in which more than ten million people indicated their preference for a recent deform. The tally of this poll resulted in the replacement of tan- glossinessed M&Ms with a new blue color. In the brochure Colors, made available by M&MS Consumer Affairs, the distribution of colors for the plain candies is as follows BROWNYELLOWREDORANGEGREENBLUE 30%20%20%10%10%10% In a follow-up call for two years later, samples of 1-pound bags were used to determine whether the reported percentages were still valid. The following results were obtained (observed) for one sample of 506 plain candiesBROWNYELLOWREDORANGEGREENBLUE 17713579413638 Use a level of significance ( = 0. 05 to determine whether these data support the percentages reported by the connection Hint To obtain the Expected Number of multiply the sample value (506) by each colors probability, i. e. , E = BROWNYELLOWREDO RANGEGREENBLUE 30% (506)20%(506)20%(506)10%(506)10%(506)10%(506) Then compute the Chi-Squared. Hpic fpic, fpic, fpic, fpic, fpic, fpic hold previous years patterns or percentages Hpic At to the lowest degree one frequency differs from the previous years pattern or percentages E = 506/6 = 84. 33 pic=(177 84. 33)pic/84. 33+(135 84. 33)pic/84. 33 + (79 84. 33)pic/84. 33+(41 84. 33)pic/84. 33)+(36 84. 33)pic/84. 33+(38 84. 33)pic/84. 33) (pic=101. 937 + 30. 49217 + 0. 333215 + 22. 24069 + 27. 67367 + 25. 4293 (pic=208. 106. This is the computed (pic-value. ( = 0. 05 d. f. = 6 1 = 5. Go to (pic-tables at ( = 0. 05, and d. f. = 5, you will get CRITICAL (pic-value = 11. 070. Since Computed (pic-value is greater than Critical (pic-value REJECT NULL HpicPpic = Ppic = Ppic = Ppic = Ppic ALTERNATIVE Hpic At to the lowest degree one P is different is correctForecasting Simple Linear Regression ApplicationsSTATISTICS FOR MGT DECISIONS FINAL examen Forecasting Simple Linear Regression Applications Interpretation and Use of Computer Output (Results) NAME partition A REGRESSION ANALYSIS AND FORECASTING 1) The management of an international hotel chain is in the process of evaluating the possible sites for a new unit on a beach resort. As part of the analysis, the management is provoke in evaluating the relationship between the distance of a hotel from the beach and the hotels average occupancy rate for the season. A sample of 14 existing hotels in the area is chosen, and each hotel reports its average occupancy rate.The management records the hotels distance (in miles) from the beach. The following set of data is obtained Distance (miles)0. 10. 10. 20. 30. 40. 40. 50. 60. 7 Occupancy (%)929596908996908385 Continue Distance (miles)0. 70. 80. 80. 90. 9 Occupancy (%)8078767275 Use the computer output to respond to the following questions a) A simple analogue regression was ran with the occupancy rate as the dependent (explained) variable and distance from the beac h as the independent (explaining) variable Occpnc=bpic+bpic(Distncy) What is the estimated regression equation?The regression model is Occpnc = bpic + bpic(Distncy) The estimated regression equation is OCCUPNC = 99. 61444 26. 703 DISTNCY b) Interpret the meaning understructure the values you get for both coefficients bpic and bpic. bpic=99. 61444, represent the y-intercept as well as the starting figure for the distance coverage. This is the amount of distance in miles that the hotel is from a beach. bpic = 26. 703, represents the percentage of occupancy a hotel has depending on the distance of the hotel from a beach. c) What sort of relationship exists between average hotel occupancy rate and the hotels distance from the beach?Does this relationship make sense to you? Why or why not? Both distance and occupancy have a direct relationship. This is true because closer the hotel is to the beach, the higher the chance that the hotels occupancy will be greater. If a person is going to stay at a hotel, chances are they are on vacation. spate on vacation love to spend time on a beach for relaxation purposes, so it would only make sense that a hotel that is closer to the beach will have a higher occupancy rate. d) Interpret the R-Square value in your computer output R-Squared = 0. 848195 = 84. 8195 ) Predict the expected occupancy rate for a hotel that is (i) one mile from the beach in that area, (ii) one and half miles from the beach. i. OCCUPNC = 99. 61444 26. 703 (1) = 99. 61444 26. 703 = 72. 911 ii. OCCUPNC = 99. 61444 26. 703 (1. 5) = 99. 61444 40. 055 = 59. 559 f) In your mind, what other variables contribute positively or negatively to hotel occupancy besides distance from the beach? Other variables that contribute positively or negatively to hotel occupancy besides distance from the beach include the distance of restaurants, shopping centers, and airdrome from the hotel.The closer theses variables are to the hotel the chances the occupancy rate will b e higher. In addition, other variables may include what type of amenities that are offered by the hotel, customer service, and rating of the hotel. g) At a level of significance, ? = 0. 01 or 1 percent test the following pair of hypotheses Hpic bpic= 0 Hpic bpic? 0 On the model Occpnc=bpic+bpic(Distncy) What is your conclusion and why that particular conclusion? COMPUTER OUTPUT PART 1 INTERNATIONAL HOTEL REGRESSION FUNCTION & ANOVA FOR OCCPNCY OCCPNCY = 99. 61444 26. 703 DISTANCER-Squared = 0. 848195 Adjusted R-Squared = 0. 835545 Standard error of estimate = 3. 339362 Number of cases used = 14 Analysis of Variance p-value Source SS df MS F Value Sig Prob Regression 747. 68 1 747. 68390 67. 04880 0. 000002 Residual 133. 82 12 11. 15134 Total 881. 50 13 COMPUTER OUTPUT PART 1 INTERNATIONAL HOTEL REGRESSION COEFFICIENTS FOR OCCPNCY Two-Sided p-value Variable Coefficient Std Error t Value Sig Prob Constant 99. 61444 1. 4107 51. 31933 0. 000000 DISTANCE -26. 70300 3. 26110 -8. 18833 0. 000002 * Standard error of estimate = 3. 339362 Durbin-Watson statistic = 1. 324282 septuple REGRESSION 2) You want to find out factors that explain an individuals weekly savings. You are minded(p) a set of data below Sampled WeeklyHouseFoodEntertain/Weekly IndividualIncomeRentExpenseExpenseSavings Case 1$25085952520 Case 2$1907590100 Case 3$4201401204050 Case 4$340120130040 Case 5$2801101003015 Case 6$310801252525 Case 7$5201501405580 Case 8$440175155450 Case 9$36090852095 Case 10$3851051353530Case 11$2058010505 Case 12$26565951515 Case 13$19550801020 Case 14$25090100250 Case 15$4801401604545 A multiple regression was ran with WEEKLY SAVINGS as the DEPENDENT VARIABLE and the rest as the INDEPENDENT VARIABLES. SAVINGS = bpicpic+ bpicINCOME + bpicRENT + bpicFOOD + bpicENTERT a) What is the estimated multiple regression equation? SAVINGS = 23. 14156 + 0. 591446 INCOME 0. 341793 RENT 1. 119734 FOOD 0. 907868 ENTERT b) What relationship exists between (i) SAVINGS and INCOME? , S AVINGS and RENT? , SAVINGS and FOOD expense, SAVINGS and ENTERTAINMENT expense?There are no direct relationship between saving and income, savings and rent, savings and food expense, and savings and entertainment expense. c) Which of the independent (explaining) variables are (is) significant in the multiple regression and which ones are (is) not significant (use ? = 0. 05 level of significance). Are the results in line with Maslow hierarchy of needs? Explain. COMPUTER OUTPUT PART I WEEKLY SAVINGS REGRESSION FUNCTION & ANOVA FOR SAVINGS SAVINGS = 23. 14156 + 0. 591446 INCOME 0. 341793 RENT 1. 119734 FOOD 0. 907868 ENTERT R-Squared = 0. 917562 Adjusted R-Squared = 0. 70454 Standard error of estimate = 10. 9635 Number of cases used = 12 Analysis of Variance p-value Source SS df MS F Value Sig Prob Regression 9364. 86 4 2341. 21 19. 47795 0. 000677 Residual 841. 39 7 120. 198 Total 10206. 250 11 COMPUTER OUTPUT PART II WEEKLY SAVINGS REGRESSION COEFFICIENTS FOR SAVINGS Two-Sidedp-va lue Variable Coefficient Std Error t Value Sig Prob Constant 23. 14156 18. 34071 1. 26176 0. 247451 INCOME 0. 59145 0. 07388 8. 00526 0. 000091 RENT -0. 4179 0. 19849 -1. 72199 0. 128743 * FOOD -1. 11973 0. 24633 -4. 54565 0. 002650 ENTERT -0. 90787 0. 32460 -2. 79689 0. 026643 * indicates that the variable is marked for leaving Standard error of estimate = 10. 9635 Durbin-Watson statistic = 1. 683103 3) REGRESSION ANALYSIS A business person is trying to estimate the relationship between the price of good X and the sales of good Y of certain groups of staples. Tests in similar cities throughout the country have yielded the data below PRICE (X)SALES (Y) $2010,300 $259,100 $308,200 $356,500 $405,100 $502,300A simple linear regression of a model SALES(Y) = bpic + bpicPRICE(X) Was run and the computer output is shown below PRICE OF X / SALES OF Y REGRESSION FUNCTION & ANOVA FOR SALES(Y) SALES(Y) = 15907. 14 269. 7143 PRICE(X) R-Squared = 0. 994999 Adjusted R-Squared = 0. 993749 Standar d error of estimate = 230. 9143 Number of cases used = 6 Analysis of Variance p-value Source SS df MS F Value Sig Prob Regression 4. 24350E+07 1 4. 24350E+07 795. 83480 0. 000009 Residual 213285. 70000 4 53321. 43000 Total 4. 26483E+07 5PRICE OF X / SALES OF Y REGRESSION COEFFICIENTS FOR SALES(Y) Two-Sidedp-value Variable Coefficient Std Error t Value Sig Prob Constant 15907. 14000 332. 34250 47. 86370 0. 000001 PRICE(X) -269. 71430 9. 56076 -28. 21054 0. 000009 * Standard error of estimate = 230. 9143 Durbin-Watson statistic = 1. 687953 QUESTIONS a) What is the estimated equation of the model SALES(Y) = bpic + bpicPRICE(X)? SALES(Y) = 15907. 14 269. 7143 PRICE(X) b) What sort of relationship exists between SALES OF Y and the PRICE OF X? Does this relationship make sense? Why or why not?There is a direct relationship between Sales of Y and the Price of X. The lower the price the higher are the sales. This makes sense because if the price is lower, a person will purchase more items. c) What can you say about GOOD Y and GOOD X (a good can be an item, a commodity, etc. ). Name a pair of good X and good y that can display this kind of relationship. Suppose the price of candy is $0. 50/lb, the sales of the candy versus the same type of candy that is $0. 80/lb would yield more sales because of the price. The price of the candy directly affects sales in this instance because a person would buy more candy at $0. 0/lb versus $0. 80/lb. 4) REGRESSION ANALYSIS A business person is trying to estimate the relationship between the price of good X and the sales of good Z of certain groups of staples. Tests in similar cities throughout the country have yielded the data below PRICE (X)SALES (Z) $153300 $203900 $254750 $305500 $406550 $507250 A simple linear regression of a model SALES (Z) = bpic + bpicPRICE(X) Was run and the computer output is shown below PRICE OF X / SALES OF Z REGRESSION FUNCTION & ANOVA FOR SALES(Y) SALES(Z) = 1740. 686 + 115. 5882 PRICE(X) R-Squared = 0. 977573 Adjusted R-Squared = 0. 71966 Standard error of estimate = 255. 2152 Number of cases used = 6 Analysis of Variance p-value Source SS df MS F Value Sig Prob Regression 1. 13565E+07 1 1. 13565E+07 174. 35450 0. 000190 Residual 260539. 20000 4 65134. 80000 Total 1. 16171E+07 5 PRICE OF X / SALES OF Z REGRESSION COEFFICIENTS FOR SALES(Z) p-value Variable Coefficient Std Error t Value Sig Prob Constant 1740. 68600 282. 52800 6. 16111 0. 003522 PRICE(X) 115. 58820 8. 75381 13. 20434 0. 000190 *Standard error of estimate = 255. 2152 Durbin-Watson statistic = 1. 240299 QUESTIONS a) What is the estimated equation of the model SALES(Z) = bpic + bpicPRICE(X)? SALES (Z) = 1740. 686 + 115. 5882 PRICE(X) b) What sort of relationship exists between SALES OF Z and the PRICE OF X? Does this relationship make sense? Why or why not? There is a direct relationship between Sales of Y and the Price of X. The higher the price the higher are the sales. This makes sense as it relates to supply and d emand. The higher the demand and for the product and unavailability of the product, the price will go up even though sales may he same due to the price increase the sales amount will be higher. c) What can you say about GOOD Z and GOOD X (a good can be an item, a commodity, etc. ). Give an example of good X and good Z that can display this kind of relationship A prime example that displays this kind of relationship is gas. The price of gas has been going up for sometime now. The demand for it is high, but the supply of is low. Therefore, even though the amount of sales may stay constant, the dollar amount will be higher because the price is higher. Chi-Squared Test 1M&M, makers of Chocolate Candies, conducted a national poll in which more than ten million people indicated their preference for a new color. The tally of this poll resulted in the replacement of tan-colored M&Ms with a new blue color. In the brochure Colors, made available by M&MS Consumer Affairs, the distribution of c olors for the plain candies is as follows BROWNYELLOWREDORANGEGREENBLUE 30%20%20%10%10%10% In a follow-up study two years later, samples of 1-pound bags were used to determine whether the reported percentages were still valid. The following results were obtained (observed) for one sample of 506 plain candiesBROWNYELLOWREDORANGEGREENBLUE 17713579413638 Use a level of significance ( = 0. 05 to determine whether these data support the percentages reported by the alliance Hint To obtain the Expected Number of multiply the sample value (506) by each colors probability, i. e. , E = BROWNYELLOWREDORANGEGREENBLUE 30% (506)20%(506)20%(506)10%(506)10%(506)10%(506) Then compute the Chi-Squared. Hpic fpic, fpic, fpic, fpic, fpic, fpic hold previous years patterns or percentages Hpic At least one frequency differs from the previous years pattern or percentages E = 506/6 = 84. 33 pic=(177 84. 33)pic/84. 33+(135 84. 33)pic/84. 33 + (79 84. 33)pic/84. 33+(41 84. 33)pic/84. 33)+(36 84. 33)pic/8 4. 33+(38 84. 33)pic/84. 33) (pic=101. 937 + 30. 49217 + 0. 333215 + 22. 24069 + 27. 67367 + 25. 4293 (pic=208. 106. This is the computed (pic-value. ( = 0. 05 d. f. = 6 1 = 5. Go to (pic-tables at ( = 0. 05, and d. f. = 5, you will get CRITICAL (pic-value = 11. 070. Since Computed (pic-value is greater than Critical (pic-value REJECT NULL HpicPpic = Ppic = Ppic = Ppic = Ppic ALTERNATIVE Hpic At least one P is different is correct

Psychological benefits of physical activity Essay

The psychological benefits of exercise atomic number 18 often overlooked. Todays company greatly focuses on the physical benefits of exercise, such as weight loss, toned muscles and six-pack abs. Although these are curious benefits, the psychological benefits cannister be just as, if not more than significant than the physical benefits dependent on your needs and goals. Research has shown that regular exercise delivers a mental and emotional boost. It improves your mood, bolsters your self-esteem and gives you the confidence to get across whatever comes your way. Some studies hint that it also enhances the functioning of your brain. Many theories about the psychological benefits of exercise flummox surfaced from exercise physiology and sports psychology. One common area of study is neurochemistry. Scientists believe that when exercising, chemicals called endorphins are produced in the brain and released into the body.The vocalize endorphin is abbreviated from the phrase endoge nous morphine which means morphine produced immanently by the body. Endorphins are approximation to relieve stress and pain naturally, giving one an euphoric and invigorating feeling. This is also known as runners high. Just one workout can release other cache of natural antidepressant chemicals from your bodys medicine cabinet, such as dopamine, serotonin and norepinephrine. Other theories focus more on the indirect effects of exercise. A popular opinion is that exercise may create a bewitchery and provide an outlet from everyday sources of stress, therefore positively enhancing ones mental condition. Also, another thought is that muscle tension tends to be reduced after a good exercise sitting and this can promote a feeling of relaxation and calmness.If your goal is Stress Management, there are a number of exercises I can work with you on to achieve this objective. Enhanced Moods Exercise makes most quite a little feel good and when people feel good, their moods seem to eleva te. Whether this is due to the release of endorphins or providing a distraction from daily stress, many studies show that regular exercisers have a more positive outlook and are happier overall in comparison to the inactive population. Alleviate Depression Studies show that regular exercise can greatly alleviate and in some cases prevent the symptoms of depression.

International business Essay Example | Topics and Well Written Essays - 2000 words

International business - Essay ExampleApart from this, on the basis of the analysis, with varied tools, certain recommendations are also provided to the management of the makeup. It is essential in order to conjure up the productivity and the prosperity of Scholz & Friends. More all over, it would also compound the brand association and distinctiveness among other evident players in the market. Table of Contents 1 Abstract 2 3 Introduction 4 outline 5 Overview of Scholz & Friends 5 Analysis of China Market 6 Market Overview 6 Trend Analysis 7 PESTLE Analysis 7 Porters Five Forces Analysis 10 SWOT Analysis of China Market 12 Recommendation 14 Conclusion 14 References 15 Bibliography 19 Appendices 20 Introduction The rapid pace of globalisation and industrialisation enhanced global affiliation among non-homogeneous intercontinental regions resulting in reduction of concern barriers leading to upgradation of international business. Moreover, globalisation also enhanced the economic suppuration of the varied developed and developing countries along with improvement in business activities due to free trade opportunities (Wang, n.d.). International business is referred to industrial or mercantile dealings that take place among two or more areas, countries or nations beyond political periphery. International business includes exports and imports activities as numerous products and/or function are transferred from one region to the other. The prime objective of an organisation to undergo global business is to enhance its market share along with its corporate image. The other key aim of international business is to make up organisational productivity and profitability (Wang, n.d.). Subsequently, international business helps an organisation to extend its credibility and identity all over the globe in order to enhance its reputation. Hence, enhancement of international business amplified the need of promotional activities resulting in wider scope for publicize ag encies. An advertising agency mainly deals in service industry which attempts to create and to bring forward inventive ideas and thoughts such as Scholz & Friends. The prime objective of any advertising agency is to encourage and to impel consumers regarding commercial offerings. Advertising agencies like Scholz & Friends also attempts to reassure employees or shareholders about the success of any organisation (Scholz & Friends Group GmbH, 2010). The report mainly focuses on varied features and importance of Scholz & Friends in a brief way. along with this, it also highlights varied attributes of international business and a detailed analysis of Scholz & Friends is also shown with the help of assorted techniques such as PESTLE analysis, Porters five forces analysis and SWOT analysis. In addition, various recommendations are also provided in order to enhance the growth and the development of Scholz & Friends. Analysis Overview of Scholz & Friends Scholz & Friends is one of the rep uted advertising agency groups in Europe. It was established in the year 1981 with an alliance of 48 friends. The head office of Scholz & Friends is laid in the region of Berlin of Germany (Scholz & Friends Group GmbH, 2010). The company i.e. Scholz & Friends was originated in Hamburg by Jurgen Scholz and many others so it was named such. It is known as one of the most imaginative agencies of Germany and hence is ranked, number one by trade journal Horizont. ascribable to high brand image and

Annotated bibliography Example | Topics and Well Written Essays - 500 words

Annotated Bibliography ExampleExamples include Do men and women read alike? Do feminist critics know the female author or her point of view? Does plot redeem anything to do with being a man or woman? Do feminist have an sentiment on the relationship between political and literature points of view.One of the first books to really breakdown African American literature and literary theory, this is a must read. Examples of prominent African American writers like enthalpy Lois Gates Jr. are interwoven with descriptions and study guides on how to better understand African American writers. African American can write about their experiences in a way that can be understood by all cultures. The value of these opinions and views are priceless. This is a good guide for every break away or gender.Censorship is a part of literature. Since most Americans live in an uncensored society, censorship is a foreign concept. This book drags the curtain back revealing another side of Apartheid. Censorsh ip helped keep the Apartheid in place. Since the white minority censored generations of African Americans writers, the stifling of this creativity had lasting effects. Not only were these authors censored, so were all of the resistant writers. The criticism of the Apartheid government was limited to sources outside of South America. This book examines the consequences of the censorship in Apartheid South Africa. It is a must read for all individuals concerned about censorship.Many books have been create verbally on Ancient Egypt, but little has been said about Ancient Egyptian women. Gay Robins has reexamined antique artifacts of Egypt to tell the Egyptian womans perspective. This colorfully illustrated book tells of how rich, middle class, and poor women lived in Ancient Egypt. From slaves to royalty, a new look at women from Ancient Egypt brings up interesting facts and interpretations. Literature, art, and other artifacts are examined by Robins.

Marketing Ying Yang iPhone Essay Example | Topics and Well Written Essays - 1000 words

Marketing Ying Yang iPhone - Essay practice sessionHence, it has a wider mart stern. This paper lead undertake to market the Ying Yang iPhone to sm completely business and separate prat segments. In doing this it leave address itself to the listed market aspects as well as the Ying Yang iPhone SWOT analysis. The Ying Yang iPhone result considerably, except not exclusively, target sm completely businesspersons and consumers who want to communicate and get entertained at the same time. shortly the market for this phone is relatively small because it is new in the market and is not available in all countries. The high cost of the phone is also another limiting factor to the market acuteness of this classy phone. However, its strengths and opportunities coupled with a good market plan allow en true that this product penetrates the market. The Ying Yang iPhone target segments will consist of small entrepreneurs, medical users, professionals, students, and other probable users. However, as technology advances and competition rises from other smart phones, there is need to increase demand and expand the target segments. To achieve this we will seek to differentiate the Ying Yang iPhone from other PDAs on the market as well as collaborating with self-aggrandizing cell phone service providers and large enterprise software firms (Maxwell et al Web). This will effectively sink the costs in trade and increase sales turnover. This will ensure that the phone is available in the market for corporations, entrepreneurs, and small business owners. By differentiating the product from other possible competitors, we will position and pull ahead the Ying Yang iPhone as a value-added and more convenient product for both personal and business use (Maxwell et al Web). In addition, we will package the phone in a beautiful pack for advertisement purposes. A full year warranty on the product will be given to attract more customers. We will use the iPhone business brand nam e for businesspeople in marketing Ying Yang iPhone (Maxwell et al Web). We will also diversify the product into different levels of affordability and for special seasons. This will ensure that a wide commit of Ying Yang iPhones is available and affordable. It will also serve the purpose of product-person attraction hence increasing sales. Regarding the pricing of the product, we will consider introducing the cheaper less advanced and the expensive more advanced Ying yang iPhone to accommodate the purchasing power of all consumers. However, in due time, we may consider lowering the price to quickly establish a market dominance that lacks now. In distributing the product, clear logistics are very important. We will focus on rollouts worldwide at all reputable retailers online and cellular phone providers. This will make sure that the product is available with all phone providers and online marketers. We will collaborate with major electronics retailers and Apple to provide product de monstrations in an eye-catching manner. We will additionally put a good number of products on display to lure customers. Consequently we will use the social media, E-mail marketing, Application updates, blog reviews, joining newsgroups and online forums to advertise the product (Maxwell et al Web). This is sure way of marketing the product to our online friends who will in turn market it to their friend, hence creating a marketing network that will promote the product sales. Press release on major

Targeted Work Class Research Paper Example | Topics and Well Written Essays - 1000 words - 1

Targeted Work Class - Research root ExampleWal-Mart is cap able of achieving these objectives while still avering and improving profitability and market sh atomic number 18. This work attendes go forth be met by the linking of work groups and their processes in the internal customer and supply chains (Dreher & Dougherty, 2001). Once this is achieved, this linked running(a) work processes impart become the major swing functional processes by which Wal-Marts externally cogitate business objectives will be met. This paper will examine the work processes and key employees of Wal-Mart stores. It will push discuss the changes that Wal-Mart will make in line with the strategic challenges it might experience in the future. This will include the types of workforce needed, the knowledge, skills and appropriate abilities. The compensation and benefits of Wal-Mart Stores will also be given. It is worth noting that these key cross functional business processes will be highly dependent on the bearing in which the trouble at Wal-Mart will structure these processes. This can be done in two ways by means of the delivery processes and the support processes. Delivery processes, in this case, refers to the customer facing processes while the support processes are those that are required to sustain the delivery functions. The delivery processes, at Wal-Mart, will involve the ingathering service development process, customer order process and product service maintenance process. The product service development process headed by the Products Development coach-and-four will ensure the development of new product offerings from the concept, all the way through research, development, introduction and update, to the withdrawal from the market. The customer order process headed by the Customer Care bus will involve the requirements of customers for products or services from the moment the customer enquires all through the distribution and sale. The product service maintenan ce process headed by the Product Development Manager will be the prep of the after sale services and support (Dreher & Dougherty, 2001). One the other hand, the support processes will entail the man resource acquisition process and the business management process. The human resource acquisition process will be headed by the Human Resource Manager whose job will be to provide and maintain Wal-Marts personnel from manpower, planning, skills profile, recruitment, induction, training to development. The HRM will also be in charge of succession plans, motivation, appraisals, corrective actions, termination, retirement and pension administration (Andersen & Narus, 1999). The business management process headed by the Business Manager will be in charge of the process of managing the business operations from defining the future vision and charge of Wal-Mart to developing long term business plans, defining the business objectives, annual opportunities and financial planning. The Business M anager will also monitor performance and provide functional guidance and direction to business plans recapitulation and revision. Wal-Mart will have to change in order to meet its strategic challenges in the future by being attentive to the customers and the market. Through information generated during the strategic management work process, they will be able to gather customer requirements related to the strategic challenges they face (Dreher & Dougher

Health communication Essay Example | Topics and Well Written Essays - 250 words - 3

Health parley - Essay Examplesment and intimidation are general when a person is in a new purlieu, and for that reason, it is essential to use open-ended questions that encourage a person to talk freely (Duggan, 2006). I am not aware of a good form _or_ system of government/procedure to improve interpersonal communication skills specifically.Health literacy is the ability to access health information round diagnoses, interposition, and medication, and use it appropriately and in an informed manner (Duggan, 2006). It is advisable for patients to subscribe sufficient information just about the management of their disease. To ensure a patient understands health literacy, it is essential to improve communication skills and create an environment in which one can understand such concepts.Wendy Johnson presents an interesting insight into the argument. The point about misgiving other cultures is vital because of the racial and ethnic differences inherent in the society. It is only through passable communication that a patient can gain health literacy and be actively involved in the treatment process.I agree with Shaylee Reads post, especially about communication skills. At times, it is essential to have an interpreter to ensure a smooth flow of the communication process and to guarantee that the physician understands the diminutive problems and requirements of the patient. Even so, in case there are no interpreters, a physician must puzzle out patience, appreciate, and respect all