Data have been gathered for 74 Noodles restaurants; the output of a multiple regression analysis is...

 

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Data have been gathered for 74 Noodles restaurants; the output of a multiple regression analysis is in the following tables. The dependent variable is the annual sales per square foot (in dollars), and the independent variables are median income (in thousands of dollars), age (in years), and the percentage of customers who have a bachelor's degree. Regression Staates Mutiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Medincome ModAge BactDeo's 04254(299) 0.181021311 0 145922224 126.8252925 74 70 73 $$ MS F 248806 7577 82956 58591 5 157436506 1808465481 1125925 837 1374790 595 1.9 Awake Coefficers Stendant Error 279 3407305 154.0839194 5.8058806680075236196 2408837201 0790952049 10 04001555 Significance F 0002902978 0 95.0% 587.8480799 110449300 -2180941974 0002549808 4611681063 -020509-4.011081063 -0205003498 4535626306 0174300511 0862000093 8255009381 9830973-8255009381 9830073478 2580505-409 38040204413 00002225-45 4902359797 15 19507 4902350707 15.19507131 Lower 95% Upper 90% Lower 95.0% 29. 10061804 547 5481 29 1000 1804 Time Left:0:22:25 Intercept Medincome MedAge achDag Aissa Morou: Attempt 1 AMAN Coeffict Standard Error St 279 3407306 oor 96% Lorer 95.0% Upper 95.0% 154 0830194 1805eece 0071230196 52 8481-29 16061864 5878480799 -240637251 1.1044/38 -2 18094 1974 00325490684011001063 -020099401 158 1063 0205993490 9.790952049 4535625300 0174300011 086000090 -825009019897342500001 98303479 10.04901525 2500505-400 309-4204413 0000227548 4902359797 15 10607 4902159797 15 19507131 Lorer 99% 29 1001864 Based on the above output and a 0.05 level of significance, which of the following statements is true. Choose all that apply. Annual sales per square foot increase as average median income increases. Annual sales per square foot increase as the average percent of customers who have earned a bachelor's degree increases. Median age is a significant predictor of annual sales per square foot. Annual sales per square foot increase as the average median age of the customer increases. X Data have been gathered for 74 Noodles restaurants; the output of a multiple regression analysis is in the following tables. The dependent variable is the annual sales per square foot (in dollars), and the independent variables are median income (in thousands of dollars), age (in years), and the percentage of customers who have a bachelor's degree. Regression Staates Mutiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Medincome ModAge BactDeo's 04254(299) 0.181021311 0 145922224 126.8252925 74 70 73 $$ MS F 248806 7577 82956 58591 5 157436506 1808465481 1125925 837 1374790 595 1.9 Awake Coefficers Stendant Error 279 3407305 154.0839194 5.8058806680075236196 2408837201 0790952049 10 04001555 Significance F 0002902978 0 95.0% 587.8480799 110449300 -2180941974 0002549808 4611681063 -020509-4.011081063 -0205003498 4535626306 0174300511 0862000093 8255009381 9830973-8255009381 9830073478 2580505-409 38040204413 00002225-45 4902359797 15 19507 4902350707 15.19507131 Lower 95% Upper 90% Lower 95.0% 29. 10061804 547 5481 29 1000 1804 Time Left:0:22:25 Intercept Medincome MedAge achDag Aissa Morou: Attempt 1 AMAN Coeffict Standard Error St 279 3407306 oor 96% Lorer 95.0% Upper 95.0% 154 0830194 1805eece 0071230196 52 8481-29 16061864 5878480799 -240637251 1.1044/38 -2 18094 1974 00325490684011001063 -020099401 158 1063 0205993490 9.790952049 4535625300 0174300011 086000090 -825009019897342500001 98303479 10.04901525 2500505-400 309-4204413 0000227548 4902359797 15 10607 4902159797 15 19507131 Lorer 99% 29 1001864 Based on the above output and a 0.05 level of significance, which of the following statements is true. Choose all that apply. Annual sales per square foot increase as average median income increases. Annual sales per square foot increase as the average percent of customers who have earned a bachelor's degree increases. Median age is a significant predictor of annual sales per square foot. Annual sales per square foot increase as the average median age of the customer increases. X

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16 Based on the above output and a 005 level of significance the following statements are true Annua... View the full answer