a) y = 46.7 + 1.902 x1
Predicted y for x1=35 is 113.27
b) y = 84.8 + 4.19 x2
Predicted y for x2=15 is 147.65
c) y = -19.0 + 1.980 x1 + 4.653 x2
Predicted y for x1=35, x2=15 is 120.095
For query in above, comment.
Consider the following data for a dependent variable y and two independent variables, 21 and 22....
Consider the following data for a dependent variable y and two independent variables, 21 and 22. 94 211 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 21. Predict y if x1 = 35. y = b. Develop an estimated regression equation relating y to 22. Predict y if x2 = 15. c. Develop an estimated regression equation relating y to X1 and 22....
Consider the following data for a dependent variable y and two independent variables, 21 and 22. 108 112 179 170 118 143 211 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 X1. û = 11 Predict y if x1 = 45. ŷ= b. Develop an estimated regression equation relating y to 22. Predict y if X2 = 15. ŷ= c. Develop an estimated...
Consider the following data for a dependent variable y and two independent variables, 21 and 22. 94 118 143 212 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 21. Predict y if x1 = 45. b. Develop an estimated regression equation relating y to 22. Predict y if x2 = 25. c. Develop an estimated regression equation relating y to X1 and 22...
Consider the following data for a dependent variable y and two independent variables, 31 and 22. 108 113 178 94 176 170 118 142 211 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 Xi. Predict y if Xı = 35. y = b. Develop an estimated regression equation relating y to 22. ĝ= + x2 Predict y if x2 = 15. ŷ =...
Consider the following data for a dependent variable y and two independent variables, 31 and 22. 94 175 171 118 143 211 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 21. y = Predict y if x1 = 45. b. Develop an estimated regression equation relating y to 22. ŷ= + 12 Predict y if x2 = 15. = c. Develop an estimated...
Consider the following data for a dependent variable y and two independent variables, 21 and 32. 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 21. y = Predict y if Xi = 45. b. Develop an estimated regression equation relating y to:22. y = Predict y if x2 = 15. y = c. Develop an estimated regression equation relating y to X1 and...
Consider the following data for a dependent variable y and two independent variables, 21 and 22. 94 108 112 179 94 176 170 118 142 211 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y tox1. 21 y = Predict y if c1 = 35. b. Develop an estimated regression equation relating y to 22. Predict y if .22 = 15. y = c. Develop...
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are these right? Consider the following data for a dependent variable y and two independent variables, 31 and 22. 94 108 112 179 95 175 170 118 143 211 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 X1. ŷ = 44.62 + 1.95 21 Predict y if x1 = 45. ŷ = 132.37 b. Develop an estimated regression equation relating y to 22....
Consider the following data for a dependent variable y and two independent variables, 21 and 22. 21 22 30 12 95 47 11 108 25 18 113 51 16 178 40 5 94 52 20 176 74 7 171 36 12 118 59 13 142 77 16 211 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 @i. + 31 Predict y if *1...