reg SHW NFM THISQ gender Source | SS df MS Number of obs = 950 -------------+---
ID: 3310590 • Letter: R
Question
reg SHW NFM THISQ gender
Source | SS df MS Number of obs = 950
-------------+---------------------------------- F(3, 946) = 118.19
Model | 2.6888e+11 3 8.9626e+10 Prob > F = 0.0000
Residual | 7.1737e+11 946 758321634 R-squared = 0.2726
-------------+---------------------------------- Adj R-squared = 0.2703
Total | 9.8625e+11 949 1.0393e+09 Root MSE = 27538
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SHW | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
NFM | 949.0801 378.1998 2.51 0.012 206.8725 1691.288
THISQ | 4.86e-08 2.64e-09 18.40 0.000 4.34e-08 5.38e-08
gender | -6268.716 2323.316 -2.70 0.007 -10828.16 -1709.267
_cons | 28571.06 4383.632 6.52 0.000 19968.3 37173.83
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Interpret the results of the above data
Explanation / Answer
Here the given model is
SHW = 28571.06 + 949.0801 * NFM + 4.86 x 10-8 * THISQ -6268.716 * Gender
Here first we will identify that the model is overall significant here or not.
so, Here F - value = 118.19
and significance of F- value = 0.0000 < 0.05 so
model is overall significant in nature.
Here. p - value for each varaible is less than 0.05, that means each variable is significant here. So, we dont have to discard any independent variable.
Here R2 = 0.2726, so we can say that 27.26 % of the variation is due to the given model with the independent variables.
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