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The following 8 questions are based on this: For 12 recent clients, a weight-loss clinic has collected data about: Y: weight loss since joining the
The following 8 questions are based on this: For 12 recent clients, a weight-loss clinic has collected data about: Y: weight loss since joining the program (in pounds); X1: how long the client has been in the program (in months); X2: session type: whether the sessions occurred during the day or during the evening; X3: gender: male or female. For X2, define a dummy variable "Session" with 1 indicating the day session and O indicating evening session; for X3, define a dummy variable "Gender" with 1 indicating male and 0 indica female. Develop an estimated multiple regression equation that relates weight loss to the length in the program, session type and gender. Y X1 X2 X3 31 6 day male day male female 12 W female 42 9 evening male 38 00 evening female 11 N evening evening male male 00 27 day male 12 a day 36 evening female 40 6 female evening 24 SUMMARY OUTPUT hp TSUJI TASCHENSUMMARY OUTPUT Regression Statistics Multiple R 0.85 R Square Adjusted R Square 0.61 Standard Error 9.24 Observations 12.00 ANOVA MS Significance F at SS 585.57 Regression 8.00 683.20 85.40 Residual * * * Total 11.00 t Stat P-value Lower 95% Upper 95% Coefficients Standard Error 0.06 16.21 17.02 0.96 Intercept 0.41 7.21 7.11 2.30 4.51 0.00 4.71 1.04 X1 11.65 0.85 5.53 Session -1.10 14.88 10.11 -0.4 -2.39 5.42 Gender SUJI TASCHEND Question 8 What is calculated value of the t-test statistic for the Session variable? -0.20 1 0.44 D 0.85 None of the choices 0.20 D Question 9 What is the F statistics of the above regression model? 6.86 0.85 0 0.72 0 9.21 None of the choices D Question 10 Provide the lower bound for a 95% confidence interval of the change in weight loss for each additional 1 month stay in the program for a female attending evening session. 2.30 11.65 10.11 7.11 None of the choices hp JJI TASCHENQuestion 11 How do you interpret the coefficient for dummy variable session and gender in the above regression model? If the person attends evening session, his/her weight loss will be 1.10 higher as compared to attending evening session; if the person is a male, his weight loss will be 2.39 higher as compared to attending evening s If the person attends day session, his/her weight loss will be 1.10 lower as compared to attending evening session, keeping all other variables constant; if the person is a female, her weight loss will be 2.39 higher as compared to male, keeping all other variables constant. D If the person attends evening session, his/her weight loss will be 1.10 lower as compared to attending day session, keeping all other variables constant; if the person is a female, her weight loss will be 2.39 higher as compared to male, keeping all other variables constant. None of the choices If the person attends evening session, his/her weight loss will be 1.10 lower as compared to attending evening session; if the person is a male, his weight loss will be 2.39 lower as compared to attending evening ses Question 12 The person is in the program for 7 months, attending evening session and gender of male. Based on the regression output, what is the predicted weight loss? 29.87 30.99 33.39 32.29 None of the choices Question 13 Which of the following predictors/independent variables were found to be significant at 0.05 significance level? X1', Session and 'Gender X1' and 'Session' D 'X1' and Gender' Only 'X1' hp JJI TASCHEND Question 13 Which of the following predictors/independent variables were found to be significant at 0.05 significance level? 'X1', 'Session and Gender 'X1' and Session O 'X1' and Gender Only 'X1 'Session and 'Gender' Question 14 Which statement is WRONG (NOT CORRECT) at 0.05 significance level? Do not reject the hypothesis for T-test in "Session" O Reject the hypothesis for T-test in "X1" Do not reject the hypothesis for T-test in "Gender" All other Statements are correct. D OC Music Company has been in business for 4 years. Data about the sales of each quarter were collected below. The manager wants use these data to forecast sale paste it to Excel and run regression analysis. Answer the following 4 questions. Please also upload your EXCEL file on Canvas, otherwise you will NOT receive any p Year Quarter Sales 01 04 10 hp UJI TASCHEN
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