A statistical program is recommended. Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 94 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 (a) Develop an estimated regression equation relating y to x1. (Round your numerical values to one decimal place.) ŷ = 45.1+1.9x1 Predict y if x1 = 59. (Round your answer to one decimal place.) ____ (b) Develop an estimated regression equation relating y to ,x2.(Round your numerical values to one decimal place.) ____ ŷ = mPredict y if x2 = 13. (Round your answer to one decimal place.)____ C) Develop an estimated regression equation relating y to x1 and x2.(Round your numerical values to one decimal place.) ŷ = ____ Predict y if x1 = 59 and x2 = 13. (Round your answer to one decimal place.)__
A statistical program is recommended.
Consider the following data for a dependent variable y and two independent variables,
x1
and
x2.
x1 x2 y
30 12 94
47 10 108
25 17 112
51 16 178
40 5 94
51 19 175
74 7 170
36 12 117
59 13 142
76 16 211
(a)
Develop an estimated regression equation relating y to
x1.
(Round your numerical values to one decimal place.)
ŷ =
45.1+1.9x1
Predict y if x1 = 59. (Round your answer to one decimal place.) ____
(b) Develop an estimated regression equation relating y to ,x2.(Round your numerical values to one decimal place.) ____
ŷ = mPredict y if
x2 = 13. (Round your answer to one decimal place.)____
C) Develop an estimated regression equation relating y to
x1 and x2.(Round your numerical values to one decimal place.)
ŷ = ____
Predict y if x1 = 59 and x2 = 13.
(Round your answer to one decimal place.)___
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