I
Table 1: multiple regression estimates.
reg sleep age toturk
Source
SS
df
MS
Model
Residual
15155229.8
124084606
2
703
7577614.89
176507.263
Number of obs
F(2, 703)
Prob > F
R-squared
Adj R-squared
Root MSE
706
42.93
0.0000
0.1088
0.1063
420.13
Total
139239836
705
197503.313
sleep
Coef.
Std. Err.
t
P>It!
[95% Conf. Interval]
age
toturk
cons
2.923879 1.396712
-.14901071 .0167207
34597201 68.11787
2.09
-8.91
50.93
0.037
0.000
0.000
.1816517
-.1818393
3335.462
5.666105
-.1161822
3602.939
Calculate the regression coefficients in the above table by hand, using the statistics below and the
formulas in Ben's Chapter 3 notes (“example with k = 2")?
Table 2: variances and covariances.
corr sleep age totwrk, covariance
(obs=706)
sleep
age
totwrk
sleep
age
totwrk
197503
455.554 128.655
-135324 -532.718
897700