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Phan Khánh Linh KTL
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reg price mpg
Source SS df MS Number of obs = 74
F(1, 72) = 20.26
Model 139449474 1 139449474 Prob > F = 0.0000
Residual 495615923 72 6883554.48 R-squared = 0.2196
Adj R-squared = 0.2087
Total 635065396 73 8699525.97 Root MSE = 2623.7
price Coefficient Std. err. t P>|t| [95% conf. interval]
mpg -238.8943 53.07669 -4.50 0.000 -344.7008 -133.0879
_cons 11253.06 1170.813 9.61 0.000 8919.088 13587.03
. reg price weight
Source SS df MS Number of obs = 74
F(1, 72) = 29.42
Model 184233937 1 184233937 Prob > F = 0.0000
Residual 450831459 72 6261548.04 R-squared = 0.2901
Adj R-squared = 0.2802
Total 635065396 73 8699525.97 Root MSE = 2502.3
price Coefficient Std. err. t P>|t| [95% conf. interval]
weight 2.044063 .3768341 5.42 0.000 1.292857 2.795268
_cons -6.707353 1174.43 -0.01 0.995 -2347.89 2334.475
. reg price mpg weight
Source SS df MS Number of obs = 74
F(2, 71) = 14.74
Model 186321280 2 93160639.9 Prob > F = 0.0000
Residual 448744116 71 6320339.67 R-squared = 0.2934
Adj R-squared = 0.2735
Total 635065396 73 8699525.97 Root MSE = 2514
price Coefficient Std. err. t P>|t| [95% conf. interval]
mpg -49.51222 86.15604 -0.57 0.567 -221.3025 122.278
weight 1.746559 .6413538 2.72 0.008 .467736 3.025382
_cons 1946.069 3597.05 0.54 0.590 -5226.245 9118.382
. reg y x
Source SS df MS Number of obs = 12
F(1, 10) = 41.09
Model 475108.808 1 475108.808 Prob > F = 0.0001
Residual 115639.192 10 11563.9192 R-squared = 0.8042
Adj R-squared = 0.7847
Total 590748 11 53704.3636 Root MSE = 107.54
y Coefficient Std. err. t P>|t| [95% conf. interval]
x 6.16512 .9618282 6.41 0.000 4.022033 8.308207
_cons 667.0205 120.4502 5.54 0.000 398.6407 935.4002
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