QUESTION 28 A reahor used the reeression model y betao beta 1x1 2x2 epsilon, to

Question

QUESTION 28 A reahor used the reeression model y betao beta 1x1 2x2 epsilon, to predict selling p of homes (n thousands of S). The variable x1 represents the home sze (Equare feet andx2 ropresents the ber of bedrooms. The following info is avalable: ANOVA DF SS MS Regression 2 0101.0 219.8 Coefficier Standard Emor statistic intercept 20.28 22.88 size 0.12352 0.02435 5.07 Bedrooms 20,183 0,007 3.0 Which of the two independent variables seems to have a stronger impact on the selling price O None of them has a strong impact O Size o Selling P o Bedrooms QUESTION 29 Folowing is an incomplete portion of Excel output for regression analysis relating y maintenance expense (dolar per month)to x usage (nours per week ot a particular brand of computer terminal Anova Regression 1 157576 Residual 249 14 usage 8951 01.490 alth d 26 h About 50,89 o About $28.40 o About 58.1092 About $35.17 QUESTION 30 Folowing is an incomplete portion of Excel output for regression analysis relating y maintenance expense fdolars per month)tox- usage hours per week of a particular brand of computer terminal: Anova 1515T Regression Residual 49 14 Total 9 What is the standard error standard d ot the estimate of o? About 0.16 About 8.0 About 0.04 O About 43.8425

Explanation / Answer

28) size has more impact . as t-value of Size is more .

29) y = 0.8951 x+ 6.1092

at x= 5 ,

y^ = 28.4867

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