This question shows 3 possible models. Delta R^2 is the adjusted R^2 value. Then F is...

This question shows 3 possible models. Delta R^2 is the adjusted R^2 value. Then F is the test statistic for adjusted R^2. The significance columns show the p-values for each measurement. The best model is the one with the lowest p-value for F.

The table below summarizes nested multiple regression models used to predict a person’s quality of life score.

	Model 1		Model 2		Model 3
	est.	sig.	est.	sig.	est.	sig.
intercept	16.68	<.001	9.16	<.001	7.57	<.001
size of social network	0.59	0.027	0.44	0.076	0.43	0.059
college degree	—		3.73	0.014	3.87	0.030
time (yrs) at current job	—		—		0.91	0.046
# of siblings	—		—		–0.68	0.146

R2R2	3.65%		8.01%		9.60%
ΔR2ΔR2	3.65%		4.36%		1.59%
FF (for ΔR2ΔR2)	5.00_(1,132)	0.027	6.20_(1,131)	0.014	1.13_(2,129)	0.325

Using the model information (parameter estimates and comparative model fit), provide a prediction for the quality of life score for a person with a social network of size 8, a college degree, 4 years at current job, and 3 siblings.
QOL = ˆy=y^=
Report answer accurate to 2 decimal places.

Be prepared to briefly justify your model choice.

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Expert Solution

orchestra answered 1 year ago

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