Table 1 regress size hhinc Source df MS Number of obs 5,407 %3D F(1, 5405) 1613.34 %3D Model 263141566 1 263141566 Prob > F 0.0000 %3D Residual R-squared %3D Adj R-squared Root MSE %3D Total 1.1447e+09 5,406 211749.457 size Coefficient Std. err. P>|t| [95% conf. interval] hhinc .0082545 .0002055 40.17 0.000 .0078516 .0086574 _cons 800.9835 9.404917 85.17 0.000 782.5461 819.4209 Compute the Sum of Squared Residuals (SSR), R-squared (R^2), and Root Mean Squared Error from Table 1 (Root MSE), Interpret the R-squared.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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  1. We conduct a simple regression of size on hhinc. The regression output is reported in Table 1. Interpret the sign and magnitude of the estimated coefficients. fill in the table

Table 1
regress size hhinc
Source
SS
df
MS
Number of obs
5,407
F(1, 5405)
1613.34
Model
263141566
1
263141566
Prob > F
0.0000
Residual
R-squared
=
Adj R-squared
%3D
Total
1.1447e+09
5,406
211749.457
Root MSE
%3D
size
Coefficient
Std. err.
P>|t|
[95% conf. interval]
hhinc
.0082545
.0002055
40.17
0.000
.0078516
.0086574
_cons
800.9835
9.404917
85.17
0.000
782.5461
819.4209
c) Compute the Sum of Squared Residuals (SSR), R-squared (R^2), and Root Mean
Squared Error from Table 1 (Root MSE). Interpret the R-squared.
Transcribed Image Text:Table 1 regress size hhinc Source SS df MS Number of obs 5,407 F(1, 5405) 1613.34 Model 263141566 1 263141566 Prob > F 0.0000 Residual R-squared = Adj R-squared %3D Total 1.1447e+09 5,406 211749.457 Root MSE %3D size Coefficient Std. err. P>|t| [95% conf. interval] hhinc .0082545 .0002055 40.17 0.000 .0078516 .0086574 _cons 800.9835 9.404917 85.17 0.000 782.5461 819.4209 c) Compute the Sum of Squared Residuals (SSR), R-squared (R^2), and Root Mean Squared Error from Table 1 (Root MSE). Interpret the R-squared.
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