Using results from the previous regression model, discuss whether you would have confidence in this multiple regression model to predict expected salary based on GPA, age, and gender? Need model statistics to back up answer

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ISBN:9781119256830
Author:Amos Gilat
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Using results from the previous regression model, discuss whether you would have confidence in this multiple regression model to predict expected salary based on GPA, age, and gender? Need model statistics to back up answer

SUMMARY OUTPUT
Regression Statistics
Multiple R
0.395498476
R Square
0.156419044
Adjusted R Square
0.112785547
Standard Error
12.17722006
Observations
62
ANOVA
df
SS
MS
F
Significance F
Regression
1594.730002 531.5766673 3.584838547
0.019004626
Residual
58
8600.511934 148.2846885
Total
61
10195.24194
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
94.54611216
25.86629619
3.655185554 0.000554755
42.76909483
146.3231295
Age
-0.251361491
1.090541782 -0.230492307 0.818520313
-2.434318044
1.931595061
GPA
-13.01562204
3.993008353 -3.259603009
0.00186909
-21.00849667 -5.022747407
Gender
1.280746929
3.1199383 0.410503928 0.682948897
-4.964488116
7.525981974
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R 0.395498476 R Square 0.156419044 Adjusted R Square 0.112785547 Standard Error 12.17722006 Observations 62 ANOVA df SS MS F Significance F Regression 1594.730002 531.5766673 3.584838547 0.019004626 Residual 58 8600.511934 148.2846885 Total 61 10195.24194 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 94.54611216 25.86629619 3.655185554 0.000554755 42.76909483 146.3231295 Age -0.251361491 1.090541782 -0.230492307 0.818520313 -2.434318044 1.931595061 GPA -13.01562204 3.993008353 -3.259603009 0.00186909 -21.00849667 -5.022747407 Gender 1.280746929 3.1199383 0.410503928 0.682948897 -4.964488116 7.525981974
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