A regression model that is linear in the unknown parameters is a linear regression model. A)...
A regression model that is linear in the unknown parameters is a linear regression model.
| A) True | |
| B) False |
The test for significance of regression in multiple regression involves testing the hypotheses Ho: B1=B2=B3=0 versus H1: B1≠B2≠B3≠0.
| A) True | |
| B) False |
The ANOVA is used to test for significance of regression in multiple regression.
| A) True | |
| B) False |
Homework Answers
ANSWER:-
A regression model that is linear in the unknown parameters is a linear regression model.
option B is correct.
The test for significance of regression in multiple regression involves testing the hypotheses Ho: B1=B2=B3=0 versus H1: B1≠B2≠B3≠0.
A) True
option A is correct.
The ANOVA is used to test for significance of regression in multiple regression.
A) True
- Examination of change (ANOVA) is an accumulation of factual models and their related estimation techniques, (for example, the "variety" among and between gatherings) used to dissect the distinctions among gathering implies in an example.
- ANOVA is helpful for looking at (testing) at least three gathering implies for measurable noteworthiness.
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A regression model
that is linear in the unknown parameters is a linear regression
model.
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