You used multiple linear regression analysis to predict community reintegration (Reintegration to Normal Living Index RNLI;...

You used multiple linear regression analysis to predict community reintegration (Reintegration to Normal Living Index RNLI; interval scale) from depression (Geriatric Depression Scale or GDS; interval scale) and balance (Berg balance scale; interval scale) in a sample of 200 individuals with stroke. The results are as follows:

Model Summary

R	R Square	Adjusted R Square	Std. Error of the Estimate
.670	.449	.431	14.40081

Predictors: (Constant), berg, depression

ANOVA(c)

	Sum of Squares	df	Mean Square	F	Sig.
Regression	10156.489	2	5078.244	24.487	.000
Residual	12443.002	197	207.383
Total	22599.491	199

Coefficients(a)

		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta	t	Sig.

	(Constant)	-6.662	14.146		-.471	.639
Berg	1.750	.288	.585	6.078	.000
	GDS	-.905	.320	-.272	-2.825	.006

a Dependent Variable: RNLI

Write up the unstandardized regression equation for predicting RNLI score for an individual with a Berg score of 35 and depression score of 11 (1 mark).
Identify the most important predictor of RNLI and provide justifications (1 mark)
Discuss implications of the results on clinical assessment (1 mark) and treatment (1 mark).
Discuss two implications of the results on future research .

Expert Solution

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orchestra answered 1 year ago

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