Consider the following Stata regression output (some values are deliberately removed). Variable | Obs Mean Std. Dev. Min Маx lwage | 269 6.952296 .8813761 5.010635 8.655214

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Consider the following Stata regression output (some values are
deliberately removed).
Variable |
Obs
Mean
Std. Dev.
Min
Маx
lwage
points |
rebounds |
assists
269
6.952296
.8813761
5.010635
8.655214
269
10.21041
5.900667
1.2
29.8
269
4.401115
2.892573
2.092986
.5
17.3
269
269
2.408922
1682.193
12.6
3533
minutes |
893.3278
33
Source |
SS
df
MS
Number of obs
F(,
Prob > F
Model |
Residual |
=
R-squared
Adj R-squared
Root MSE
%3D
0.4146
Total |
lwage |
Сoef.
Std. Err.
P>|t|
[95% Conf. Interval
.0795364
points
rebounds
.0277761
.0637763
.0204514
3.12
0.002
0.252
0.227
-.0230647
-.0000747
.087425
.0003133
assists
.0321805
.0280576
1.15
minutes
.0001193
.0000985
1.21
_cons
Answer the following questions. Please round your answers to 2
decimal places.
Model SS :
; Residual S :
; Total SS :
Transcribed Image Text:Consider the following Stata regression output (some values are deliberately removed). Variable | Obs Mean Std. Dev. Min Маx lwage points | rebounds | assists 269 6.952296 .8813761 5.010635 8.655214 269 10.21041 5.900667 1.2 29.8 269 4.401115 2.892573 2.092986 .5 17.3 269 269 2.408922 1682.193 12.6 3533 minutes | 893.3278 33 Source | SS df MS Number of obs F(, Prob > F Model | Residual | = R-squared Adj R-squared Root MSE %3D 0.4146 Total | lwage | Сoef. Std. Err. P>|t| [95% Conf. Interval .0795364 points rebounds .0277761 .0637763 .0204514 3.12 0.002 0.252 0.227 -.0230647 -.0000747 .087425 .0003133 assists .0321805 .0280576 1.15 minutes .0001193 .0000985 1.21 _cons Answer the following questions. Please round your answers to 2 decimal places. Model SS : ; Residual S : ; Total SS :
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