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You ran a regression of income (y) on years of education (x). Income is measured in thousands of US$. Because of heteroscedasticity, you transformed your dependent variable. Your regression line is now:

Predicted \(\ln(\text{income}) = 2.4 + 0.06 \times \text{education}\)

What is the predicted income for a person who has 9 years of education?

A. $12,940
B. $18,916
C. $29,400
D. $2,940

Answer :

Answer:

D. $2940

Step-by-step explanation:

The given regression model is

Income=2.4+0.06 x education.

The predicted income of person with 9 years of education can be computed by replacing education year with 9 in the regression model

Income=2.4+0.06*9

Income=2.4+0.54

Income=2.94

As the income is measured in thousands of US $ so,

Income=2.94*1000 $

Income=$2940.

Thus, the predicted income of person with 9 years of education is $2940.

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