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day5prlm - 2/11/12 1 PADP 8130: Linear Models Hypothesis...

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Unformatted text preview: 2/11/12 1 PADP 8130: Linear Models Hypothesis Tes,ng PRACTICE Angela Fer9g, Ph.D. Standard error . sum agehd Variable | Obs Mean Std. Dev. Min Max-------------+-------------------------------------------------------- agehd | 8689 45.20394 16.48979 17 104 . reg agehd Source | SS df MS Number of obs = 8689-------------+------------------------------ F( 0, 8688) = 0.00 Model | 0 0 . Prob > F = . Residual | 2362380.63 8688 271.913055 R-squared = 0.0000-------------+------------------------------ Adj R-squared = 0.0000 Total | 2362380.63 8688 271.913055 Root MSE = 16.49------------------------------------------------------------------------------ agehd | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+---------------------------------------------------------------- _cons | 45.20394 .1769009 255.53 0.000 44.85717 45.5507------------------------------------------------------------------------------ What is the diference conceptually? 2/11/12 2 Confdence Interval . reg agehd Source | SS df MS Number of obs = 8689-------------+------------------------------ F( 0, 8688) = 0.00 Model | 0 0 . Prob > F = . Residual | 2362380.63 8688 271.913055 R-squared = 0.0000-------------+------------------------------ Adj R-squared = 0.0000 Total | 2362380.63 8688 271.913055 Root MSE = 16.49------------------------------------------------------------------------------ agehd | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+---------------------------------------------------------------- _cons | 45.20394 .1769009 255.53 0.000 44.85717 45.5507------------------------------------------------------------------------------ 45.20394 - 1.96*0.1769009 = 44.8572 45.20394 + 1.96*0.1769009 = 45.5507 T-test Example 1 . reg agehd Source | SS df MS Number of obs = 8689-------------+------------------------------ F( 0, 8688) = 0.00 Model | 0 0 . Prob > F = . Residual | 2362380.63 8688 271.913055 R-squared = 0.0000-------------+------------------------------ Adj R-squared = 0.0000 Total | 2362380.63 8688 271.913055 Root MSE = 16.49------------------------------------------------------------------------------ agehd | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+---------------------------------------------------------------- _cons | 45.20394 .1769009 255.53 0.000 44.85717 45.550745....
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day5prlm - 2/11/12 1 PADP 8130: Linear Models Hypothesis...

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