what does the output reveal to you about how age impacts income? Model Summary A

Question

what does the output reveal to you about how age impacts income?

Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 190a 036 28596.935 035 a. Predictors (Constan), AGE OF RESPONDENT ANOVA Sum of Squares Mean Square Sig Model Regression 3.645E+10 1 3.645E+10 44.571 000 Residual 9.699E+11 1186 8177847 17.2 Total 1 006E+12 1187 a. Dependent Variable: RESPONDENT INCOME IN CONSTANT DOLLARS b. Predictors: (Constant AGE OF RESPONDENT Coefficients Standardized Unstandardized Coefficients Coefficients Std. Error Beta (Constant) 15051.671 190 AGE OF RESPONDENT 385 446 57.735 6.676 a Dependent Variable: RESPONDENT INCOME IN CONSTANT DOLLARS 000

Explanation / Answer

Since the p - value of ANOVA is less than 0.05, we can say that the age has significant impact on Income.

Even the p - value of the slope co efficent is also less than 0.05. So we can say that the slope is also significant.

But the R - square is very small, almost zero. So the linear regression may not applicable to predict the income from age.

Related Questions

Navigate

• Browse (All)
• Browse W
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.