Each acore repenenta the percentacin ef resoondenta afre rathed a hotel as eucetent or very good oo one of three critera (cemfort, amenitiet, ald in frouse Cick on the decafle logo to refererce the data (a) Determine the estimated multiple linear regression equation that can be used to predict the overall seore given the scores for comfort, ameniltes, and inhouse dining. Let x i represent Comfort. Let x represent Amenities. Let x represent In-House Dining: i)= (b) Use the t test to determine the significance of each independent variable. What is the conclusion for each test at the 0.01 level of significance? If your answer is zero, enter " 0. The p-value associated with the estimated regression parameter b1 is , Hecause this p-valueis than the level of slgnificance, we the hrpcthesis that g1=0. We conclude that ther the score on comfort and the overall score at the 0.01 level of significance when controlling for significance, we the hypothesisthat 2=0. We conclude that there the scere on amenties and the overall score at the 0.01 level of significance when controling for Because this pvalueis than the level of significance, we the bypothesis that 8m=0. We conclude that there a retationship between the score on in-house dining and the overall score at the 0,01 level of slgnificance when controlling for (c) Remove all independent variables that are not significant at the 0.01 level of signdicance from the estimated regression equation. What is your recommended estmated regreasion equation? Enter a coefficient of zero for any indopendent variable you chose to remeve. = Let x regrosent Comfort. Let xz rescesent Amenities. Let x rescwing In-louse Dining y= (b) Use the t test to determine the significance of each independent variable: What is the condus answer is rero, emter " 0 "; The p-value associated with the estimated regresion parameter B1 is significance, w the hypohesis that 71=0. We conclude thot. the score on ar the 0.01 level of significance when controlling fo The p:Yalue as qression parameter b2 is Because th significance, we the hypochesis that 2=0. We conclude that the soore on amenties and the overall score at the 0.01 level of signincance whan controling The p-value associsted with the estimated regrescion parameter bo is shificance, we the hypothesis that pla =0. we conclude that the score os in-house dining and the dyerall score at the 0.01 level of significacce when contr (c) Remove all independent variables that are not significant at the 0.01 level of signtifance from recorrmerided estimated regression equation? Enter a coeffient of zerp for amy lodependent y^= conclusion for each test at the 0.01 level of significance? If your ause this p-valueis than the level de that there a relationship betwer olling fo -Select your answer - ause thi comfort and amenities than the level comfort and in-house aining elationship betwee amenities and in-house dining cause this p-valueis than the level ide that there a relationship betwee en controlling for nce from the estimated regression equation. What is your pendent variable you chose to remove. an 'mansudis in pat ma weyt an 'boumirelts fe pand ana ueut 4 areat saideresed damsur ane an 'eonarsudis jo pen ma ima terag asnoti-ul wasias tr zan Each acore repenenta the percentacin ef resoondenta afre rathed a hotel as eucetent or very good oo one of three critera (cemfort, amenitiet, ald in frouse Cick on the decafle logo to refererce the data (a) Determine the estimated multiple linear regression equation that can be used to predict the overall seore given the scores for comfort, ameniltes, and inhouse dining. Let x i represent Comfort. Let x represent Amenities. Let x represent In-House Dining: i)= (b) Use the t test to determine the significance of each independent variable. What is the conclusion for each test at the 0.01 level of significance? If your answer is zero, enter " 0. The p-value associated with the estimated regression parameter b1 is , Hecause this p-valueis than the level of slgnificance, we the hrpcthesis that g1=0. We conclude that ther the score on comfort and the overall score at the 0.01 level of significance when controlling for significance, we the hypothesisthat 2=0. We conclude that there the scere on amenties and the overall score at the 0.01 level of significance when controling for Because this pvalueis than the level of significance, we the bypothesis that 8m=0. We conclude that there a retationship between the score on in-house dining and the overall score at the 0,01 level of slgnificance when controlling for (c) Remove all independent variables that are not significant at the 0.01 level of signdicance from the estimated regression equation. What is your recommended estmated regreasion equation? Enter a coefficient of zero for any indopendent variable you chose to remeve. = Let x regrosent Comfort. Let xz rescesent Amenities. Let x rescwing In-louse Dining y= (b) Use the t test to determine the significance of each independent variable: What is the condus answer is rero, emter " 0 "; The p-value associated with the estimated regresion parameter B1 is significance, w the hypohesis that 71=0. We conclude thot. the score on ar the 0.01 level of significance when controlling fo The p:Yalue as qression parameter b2 is Because th significance, we the hypochesis that 2=0. We conclude that the soore on amenties and the overall score at the 0.01 level of signincance whan controling The p-value associsted with the estimated regrescion parameter bo is shificance, we the hypothesis that pla =0. we conclude that the score os in-house dining and the dyerall score at the 0.01 level of significacce when contr (c) Remove all independent variables that are not significant at the 0.01 level of signtifance from recorrmerided estimated regression equation? Enter a coeffient of zerp for amy lodependent y^= conclusion for each test at the 0.01 level of significance? If your ause this p-valueis than the level de that there a relationship betwer olling fo -Select your answer - ause thi comfort and amenities than the level comfort and in-house aining elationship betwee amenities and in-house dining cause this p-valueis than the level ide that there a relationship betwee en controlling for nce from the estimated regression equation. What is your pendent variable you chose to remove. an 'mansudis in pat ma weyt an 'boumirelts fe pand ana ueut 4 areat saideresed damsur ane an 'eonarsudis jo pen ma ima terag asnoti-ul wasias tr zan
