15.2

Q1

Consider the following data for a dependent variable y and two independent variables, 1:1 and $2. $1 32 1f 29' 12 95 46- 11 108 24 13 113 50' 16 13"9 4D 5 95 51 19' 13"5 3'5 3' IFD 35- 12 I]? 60' 13 142 3"? I? 21 1 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to $1. a. Develop an estimated regression equation relating y to 1. + C1 Predict y if x1 = 35. b. Develop an estimated regression equation relating y to $2. + C2 Predict y if $2 = 25. c. Develop an estimated regression equation relating y to 1 and $2. 1.91 C2 Predict y if $1 = 35 and *:2 = 25.Consider the following data for a dependent variable y and two independent variables, 31 and 33. Click on the datale logo to reference the data. 31'31 32 y 30 12 94 4? 10 108 2 5 1? 112 51 16 128 40 5 94 51 19 125 24 T 121] 3b 12 11? 59 13 142 ? 16 21 1 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessarv. Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to $1. + C1 Predict y if $1 = 45. b. Develop an estimated regression equation relating y to 2. + Predict y if $2 = 15. = c. Develop an estimated regression equation relating y to @1 and 12. = + 2.01 4.74 T2 Predict y if x1 = 45 and *2 = 15. V= 143.18Data for two variables, x and y, follow. 22 24 25 6 28 41 12 23 31 35 70 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. = b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. Standardized Residual 22 12 24 23 25 31 28 35 41 70 -0.30