Consider the following regression estimates (FN3) Linear regression income hours _cons Robust Coef. Std. Err. 18.91906 1.481248 281.4618 34.36264 Number of obs F(1, 498) Prob > F R-squared Root MSE t P>|t| 12.77 0.000 8.19 0.000 500 163.13 = 0.0000 = 0.2880 = 593.03 [95% Conf. Intervall 16.0088 21.82933 213.9482 348.9754

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4PPS
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Consider the following regression estimates (FN3)
Linear regression
Robust
income
Coef. Std. Err.
t P>|t|
18.91906
1.481248
12.77 0.000
hours
_cons
281.4618
34.36264
8.19 0.000
where income is weekly income in NZ$ and hours is working hours per week.
In this regression, what is the value of the R-squared? State your answer as value between 0 and 1.
Number of obs
F(1, 498)
Prob > F
R-squared
Root MSE
500
163.13
0.0000
0.2880
593.03
[95% Conf. Intervall
16.0088
21.82933
213.9482
348.9754
Transcribed Image Text:Consider the following regression estimates (FN3) Linear regression Robust income Coef. Std. Err. t P>|t| 18.91906 1.481248 12.77 0.000 hours _cons 281.4618 34.36264 8.19 0.000 where income is weekly income in NZ$ and hours is working hours per week. In this regression, what is the value of the R-squared? State your answer as value between 0 and 1. Number of obs F(1, 498) Prob > F R-squared Root MSE 500 163.13 0.0000 0.2880 593.03 [95% Conf. Intervall 16.0088 21.82933 213.9482 348.9754
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