Data is collected on teacher salary (measured in 1000’s of $’s) and years of service, rating by the administrator, and whether the teacher has a master's degree (=1) or not (=0) a) Complete the following table b) What is the estimated regression equation? c) How much of the variation in income is explained by the regressors? d) What is the standard error of the error term in the regression equation?

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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6) Data is collected on teacher salary (measured in 1000’s of $’s) and years of service, rating by the administrator, and whether the teacher has a master's degree (=1) or not (=0) a) Complete the following table b) What is the estimated regression equation? c) How much of the variation in income is explained by the regressors? d) What is the standard error of the error term in the regression equation?
6) Data are collected on teacher salary (measured in 1000's of $'s) and years of service,
rating by the administrator, and whether the teacher has a masters degree (-1) or not
(=0)
a) Complete the following table
SUMMARY
OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
0.953
20
ANOVA
df
SS
MS
Significance F
1.62311E-08
F
Regression
Residual
Total
903.2
301.1
52.7
91.4
5.7
Coefficients Standard Error
P-value
Lower 95% Upper 95%
Intercept
Years
9.915
1.916
0.000
0.899
0.154
0.088
0.000
Rating
Masters
0.031
0.000
-0.667
1.214
0,590
Transcribed Image Text:6) Data are collected on teacher salary (measured in 1000's of $'s) and years of service, rating by the administrator, and whether the teacher has a masters degree (-1) or not (=0) a) Complete the following table SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.953 20 ANOVA df SS MS Significance F 1.62311E-08 F Regression Residual Total 903.2 301.1 52.7 91.4 5.7 Coefficients Standard Error P-value Lower 95% Upper 95% Intercept Years 9.915 1.916 0.000 0.899 0.154 0.088 0.000 Rating Masters 0.031 0.000 -0.667 1.214 0,590
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