Using the regression model from the previous problem, what is the interpretation of the slope coefficient associated with Age?  Assume Salary is measured in $1,000's.

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Author:Amos Gilat
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Using the regression model from the previous problem, what is the interpretation of the slope coefficient associated with Age?  Assume Salary is measured in $1,000's.

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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