Shown below is a portion of a computer output for a linear regression analysis relating an individual's income ( y in thousands of dollars) to age ( x 1 in years), level of education ( x 2 ranging...




  1. Shown below is a portion of a computer output for a linear regression analysis relating an individual's income (y
    in thousands of dollars) to age (x
    1
    in years), level of education (x
    2
    ranging from 1 to 5), and the individual's gender (x
    3
    where 0 = female and 1 = male).












































Coefficient



Standard Error



t-statistic



p-value



Intercept



15.934



1.389



11.47



0.000




x
1



0.625



0.094



6.65



0.000




x
2



0.921



0.190



4.85



0.000




x
3



–0.510



0.920



–0.55



0.590










































Source of


Variation



Sum of squares



Degrees of freedom



Mean square



F-statistic



p-value



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 level
α
=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?




Jun 08, 2022
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