Question Completion Status: QUESTION 8 You have analyzed the sales for reduction

Question

Question Completion Status: QUESTION 8 You have analyzed the sales for reduction in prices, working on Saturdays, and advertising. You have generated the following regression analysis. Answer the questions below. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.992711 0.985475 0.97095 220.9175 multi regression ANOVA df SS MSF cance F Regression Residual Total 3 9933586 3311195 67.8460677 0.002959 3 146413.6 48804.53 6 10080000 95.09 r 95.0% Intercept Price Sat Hours Advertising 8038.653 355.3347 22.62276 0.00018914 6907.819 9169.486 6907.819 9169.486 716.942 88.90406 -8.06422 0.00398336 999.874434.01 999.874 434.01 649.6778 293.4058 2.214264 0.11364888 284.07 1583.426 284.0 1583.426 1564 0 248 0564 0.018748 0.764381 0.018748 0.764381 Is your overall regression strong? Should all of the parameters-Price, Sat Hours and Advertising be used? If no, which should be dropped? (yes or no) yes or no) price, sat hours, advertising)

Explanation / Answer

a) as p value for above ANVOA is very less therefore

Is your overall regression strong? Yes

b) should all the paramters ........... No

c) if no whch should be dropped ..... sat hours (as p value for sat hours is considerably high)

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