Find the multiple linear regression

Reference no: EM1319793

Question1: Regression - What factors predict duration of dyspnea in elders with heart failure?

Note: gender is coded 0 = male, 1 = female [Clue: To answer this question, examine the coefficients table]

Descriptive statistics
	mean	Std. Deviation	N
dysLN	4.0562	1.84562	66
HFSPSTOT	20.32	8.64	66
Age	76.12	7.796	66
gender_dummy	0.5	0.504	66

Correlations
		dysLN	HFSPSTOT	Age	gender dummy
pearson	dysLN	1	0.304	0.034	0.22
	HFSPSTOT	0.304	1	-0.112	-0.037
	Age	0.034	-0.112	1	-0.341
	gender dummy	0.22	-0.037	-0.341	1
Sig(1- tailed)	dysLN	-	0.007	0.394	0.038
	HFSPSTOT	0.007	-	0.185	0.384
	Age	0.394	0.185	'-	0.003
	gender dummy	0.038	0.384	0.003	'-
N	dysLN	66	66	66	66
	HFSPSTOT	66	66	66	66
	Age	66	66	66	66
	gender dummy	66	66	66	66

Variables Entered/ Removed
Model	variables entered	variables removed	method
1	Gender_dumy, HFSPSTOT, Age	-	Enter

All requested variables entered
Dependent variable : dysLN

Model summary
Model summary	R	R square	Adjusted R square	Std error of the estimate
1	0.414a	0.171	0.131	1.72052

1. Predictors: ( constant), gender_dummy, HFSPSTOT, age

ANOVA b
Model	Sum of squares	df	mean square	F	Sig
regression	37.878	3	12.626	4.265	0.008 a
residual	183.531	62	2.96
total	221.409	65

1. Predictors: ( constant), gender_dummy, HFSPSTOT, age

2. Dependent variable : dysLN

Coefficients
Model	unstandardized coefficients		standardized coefficients	t	sig
	B	Std.Error	Beta
( constant)	0.987	2.454		-0.402	0.689
HFSPSTOT	0.071	0.025	0.334	2.86	0.006
Age	0.04	0.029	0.17	1.37	0.176
gender dummy	1.063	0.452	0.29	2.352	0.022

1. Dependent variable : dysLN

Statistics
		HFSPSTOT	Dyspdur
	valid	77	68
	missing	0	9
mean		19.57	194.6793
median		19	72
mode		24	336
std. Deviation		8.469	359.6012

Question2: What percent variance in dyspnea duration is explained by this model? (Hint: To answer this question, examine the model summary table) dyspnea in elders with heart failure?

Reference no: EM1319793

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