Present the regression output below noting the coefficients,
assessing the adequacy of the model and the...
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Statistics
Present the regression output below noting the coefficients,assessing the adequacy of the model and the p-value of the modeland the coefficients individually.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.2967345
RSquare
0.088051364
Adjusted R Square
0.08408637
Standard Error
11.78856107
Observations
694
ANOVA
df
SS
MS
F
Significance F
Regression
3
9258.409674
3086.136558
22.2071867
9.78014E-14
Residual
690
95889.41876
138.9701721
Total
693
105147.8284
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
34.16092365
1.25201462
27.28476417
9.3282E-112
31.70270814
36.61913917
31.70270814
36.61913917
Gender
-1.678153204
0.901104822
-1.862328514
0.062981635
-3.447389615
0.091083208
-3.447389615
0.091083208
Degree Type
6.287128629
0.986047771
6.376089285
3.32555E-10
4.351114551
8.223142706
4.351114551
8.223142706
Country
-7.938281572
1.289098801
-6.158008651
1.25044E-09
-10.46930846
-5.407254679
-10.46930846
-5.407254679
Answer & Explanation
Solved by verified expert
4.3 Ratings (767 Votes)
First of all we test whether the Regression mode is overall significant or not Null hypothesis Ho Overall regression is not significant Alternative hypothesis H1 Overall regression is significant We consider the Significance F value from ANOVA which is the Pvalue Pvalue for the model 978014E14
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