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The Complete Second-Order Model Was Fit To n=25n = 25 Data Points

Question 65

Essay

The complete second-order model E(y)=β0+β1x1+β2x2+β3x1x2+β4x12+β5x22E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 1 } x _ { 2 } + \beta _ { 4 } x _ { 1 } ^ { 2 } + \beta _ { 5 } x _ { 2 } ^ { 2 } was fit to n=25n = 25 data points. The printout is shown below.
ANOVA
 The complete second-order model  E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 1 } x _ { 2 } + \beta _ { 4 } x _ { 1 } ^ { 2 } + \beta _ { 5 } x _ { 2 } ^ { 2 }  was fit to  n = 25  data points. The printout is shown below. ANOVA       a. Write the complete second-order model for the data. b. Is there sufficient evidence to indicate that at least one of the parameters  \beta _ { 1 } , \beta _ { 2 } , \beta _ { 3 } , \beta _ { 4 } , and  \beta _ { 5 }  is nonzero? Test using  \alpha = .05 . c. Test  H _ { 0 } : \beta _ { 3 } = 0  against  H _ { \mathrm { a } } : \beta _ { 3 } \neq 0 . Use  \alpha = .01 . d. Test  H _ { 0 } : \beta _ { 4 } = 0  against  H _ { \mathrm { a } } : \beta _ { 4 } \neq 0 . Use  \alpha = .01 .

 The complete second-order model  E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 1 } x _ { 2 } + \beta _ { 4 } x _ { 1 } ^ { 2 } + \beta _ { 5 } x _ { 2 } ^ { 2 }  was fit to  n = 25  data points. The printout is shown below. ANOVA       a. Write the complete second-order model for the data. b. Is there sufficient evidence to indicate that at least one of the parameters  \beta _ { 1 } , \beta _ { 2 } , \beta _ { 3 } , \beta _ { 4 } , and  \beta _ { 5 }  is nonzero? Test using  \alpha = .05 . c. Test  H _ { 0 } : \beta _ { 3 } = 0  against  H _ { \mathrm { a } } : \beta _ { 3 } \neq 0 . Use  \alpha = .01 . d. Test  H _ { 0 } : \beta _ { 4 } = 0  against  H _ { \mathrm { a } } : \beta _ { 4 } \neq 0 . Use  \alpha = .01 .

a. Write the complete second-order model for the data.
b. Is there sufficient evidence to indicate that at least one of the parameters β1,β2,β3,β4\beta _ { 1 } , \beta _ { 2 } , \beta _ { 3 } , \beta _ { 4 } , and β5\beta _ { 5 } is nonzero? Test using α=.05\alpha = .05 .
c. Test H0:β3=0H _ { 0 } : \beta _ { 3 } = 0 against Ha:β30H _ { \mathrm { a } } : \beta _ { 3 } \neq 0 . Use α=.01\alpha = .01 .
d. Test H0:β4=0H _ { 0 } : \beta _ { 4 } = 0 against Ha:β40H _ { \mathrm { a } } : \beta _ { 4 } \neq 0 . Use α=.01\alpha = .01 .

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