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kyaramarie318 kyaramarie318
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A year ago
Consider the following regression summary:

The regression equation is

Y3 = 104 + 0.204 X3 + 0.0754 X4

Predictor     Coef SE      Coef       T       P

Constant      103.968     5.049   20.59   0.000

X3            0.20415   0.08503    2.40   0.018

X4            0.07542   0.05760    1.31   0.193

S = 6.38219 R-Sq = 8.1% R-Sq(adj) = 6.2%

Analysis of Variance

Source           DF        SS       MS      F       P

Regression        2    360.63   180.31   4.43   0.014

Residual Error  101   4113.97    40.73

Total           103   4474.59

What proportion of the Y3 variability is explained by the model?



0.081



0.014



0.018



0.193

Textbook 
Introductory Statistics: A Problem-Solving Approach

Introductory Statistics: A Problem-Solving Approach


Edition: 3rd
Author:
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jchang19jchang19
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A year ago
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kyaramarie318 Author
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A year ago
Good timing, thanks!
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