Author Question: Consider the following regression summary:The regression equation isY3 = 104 + 0.204 X3 + 0.0754 ... (Read 42 times)

Mscarter · **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

Perform a global utility test for the model. State the correct decision and reasoning. (Useα= 0.01.)

◦

The model appears to be useful becausep-value = 0.000 < 0.01.

◦

The model does not appear to be useful becausep-value = 0.014 > 0.01.

◦

The model appears to be useful becauseR-Sq (adj) is more than 0.01 less than R-Sq.

◦

The model does not appear to be useful because thep-value = 0.018 > 0.01.

GoldenBrown · **Reply #1 on:** Feb 26, 2023

A FREE account is required to view all solutions!

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.

Answer Preview

Only 35% of students answer this correctly