at the explanatory variables are jointly si
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter3: Straight Lines And Linear Functions
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![Refer to the portion of regression results in the accompanying table.
df
Significance F
SS
MS
F
Regression
2
3,500
1,750
0.1000
Residual
20
13,500
675
Total
22
17,000
When testing the overall significance of the regression model at the 5% level given a critical value of F0.05, (2, 20) = 3.49, the decision and
conclusion are
Multiple Choice
reject Ho; we cannot conclude that the explanatory variables are jointly significant in explaining the response variable.
reject Ho; we can conclude that the explanatory variables are jointly significant in explaining the response variable.
don't reject Ho; we can conclude that the explanatory variables are jointly significant in explaining the response variable.
don't reject Ho; we cannot conclude the explanatory variables are jointly significant in explaining the response variable.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdc82dccc-d4a1-496c-bc5a-0472ca900b83%2Facb3212e-fe3d-4d97-b8b3-1389be13091a%2Fimp17xv_processed.png&w=3840&q=75)
Transcribed Image Text:Refer to the portion of regression results in the accompanying table.
df
Significance F
SS
MS
F
Regression
2
3,500
1,750
0.1000
Residual
20
13,500
675
Total
22
17,000
When testing the overall significance of the regression model at the 5% level given a critical value of F0.05, (2, 20) = 3.49, the decision and
conclusion are
Multiple Choice
reject Ho; we cannot conclude that the explanatory variables are jointly significant in explaining the response variable.
reject Ho; we can conclude that the explanatory variables are jointly significant in explaining the response variable.
don't reject Ho; we can conclude that the explanatory variables are jointly significant in explaining the response variable.
don't reject Ho; we cannot conclude the explanatory variables are jointly significant in explaining the response variable.
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