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Author Question: Consider the following regression summary:The regression equation isY3 = 104 + 0.204 X3 + 0.0754 ... (Read 9 times)

vowens

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on: Feb 26, 2023
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

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Marked as best answer by vowens on Feb 26, 2023

jbsuccess1

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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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vowens

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Reply 2 on: Feb 26, 2023
YES! Correct, THANKS for helping me on my review

ryansturges

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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