Coefficient
Standard Error
t-statistic
p-value
Intercept
15.934
1.389
11.47
0.000
x1
0.625
0.094
6.65
x2
0.921
0.190
4.85
x3
–0.510
0.920
–0.55
0.590
Source of
Variation
Sum of squares
Degrees of freedom
Mean square
F-statistic
Regression
84
3
28
4
0.027
Error
112
16
7
Total
196
19
a. Is there a significant relationship between an individual's income and the set of variables, age, level of education, and gender (based on a significance levelα=05 )? Explain why using one of the p-values in the output tables.
b.Which of the three predictor variables are significant at a significance level α =05 ?
c. What percentage of the variation in income can be accounted for by the estimated linear regression equation relating income to age, level of education, and gender?
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