a) Consider the information given in the two ANOVA table below corresponding to the linear regression model: Y = Bo + B1x1 + Bzx2 + B3x3 + ɛ. Fill the missing information in the ANOVA table below: Source of DF SS MS F Variation Regression 77.76 Error Total 16 121.50 ANOVA table for the linear regression model b) Test the null hypothesis Ho: B1 = B2 = B3 = 0 against the appropriate alternative at a = 0.05 level of significance. c) Calculate R and adjusted-R2 from the data given in the ANOVA table in a) above.

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a) Consider the information given in the two ANOVA table below corresponding
to the linear regression model: Y = Bo + B1x1 + B2x2 + B3X3 + E. Fill the
missing information in the ANOVA table below:
%3D
Source of
DF
SS
MS
F
Variation
Regression
77.76
Error
Total
16
121.50
ANOVA table for the linear regression model
b) Test the mull hypothesis Ho: B1 = B2 = B3
alternative at a = 0.05 level of significance.
= 0 against the appropriate
marks)
%3D
%3D
%3D
c) Calculate R- and adjusted-R- from the data given in the ANOVA table in a)
above.
Transcribed Image Text:a) Consider the information given in the two ANOVA table below corresponding to the linear regression model: Y = Bo + B1x1 + B2x2 + B3X3 + E. Fill the missing information in the ANOVA table below: %3D Source of DF SS MS F Variation Regression 77.76 Error Total 16 121.50 ANOVA table for the linear regression model b) Test the mull hypothesis Ho: B1 = B2 = B3 alternative at a = 0.05 level of significance. = 0 against the appropriate marks) %3D %3D %3D c) Calculate R- and adjusted-R- from the data given in the ANOVA table in a) above.
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