Assignment: 15.2 Practice

Exercise 15.02 Algo (Least Square Method)

Please make sure you see both slides because they are different.

Consider the following data for a dependent variable y and two independent variables, :31 and 32. Click on the datale logo to reference the data. DATA $1 $2 '9' 30 2 94 4? 0 108 25 ? 112 51 6 1?8 40 5 94 51 9 1?5 ?4 ? 1?0 36 2 117 59 3 142 ?6 6 211 Round vour all answers to two decimal places. Enter negative values as negative numbers, if necessarv. 3. Develop an estimated regression equation relating y to m1. 1} = + $1 Predict y if x1 = 45. g = b. Develop an estimated regression equation relating y to $1. 17' = + $2 Predict y if it: =15. g = 1:. Develop an estimated regression equation relating y to m; and $2. 1': = + m; + m Predict y if x1 = 45 and $3 = 15. f}: Consider the following data for a dependent variable y and two independent variables, :31 and 32. Click on the datale logo to reference the data. DATA $1 $2 '9' 30 2 94 4? 0 108 25 ? 112 51 6 1?8 40 5 94 51 9 1?5 ?4 ? 1?0 36 2 117 59 3 142 ?6 6 211 Round vour all answers to two decimal places. Enter negative values as negative numbers, if necessarv. 3. Develop an estimated regression equation relating y to m1. 1} = + $1 Predict y if x1 = 45. g = b. Develop an estimated regression equation relating y to $1. 17' = + $2 Predict y if it: =15. g = 1:. Develop an estimated regression equation relating y to m; and $2. 1': = + m; + m Predict y if x1 = 45 and $3 = 15. f}