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Height is frequently named as a good predictor variable for weight among people of the same age and

Question: Height is frequently named as a good predictor variable for weight among people of the same age and gender. The following are the raw data and results of a regression analysis of the heights and weights of a sample of 14 males between the ages of 19 and 26 who participated in a study.

HEIGHT (cm)	WEIGHT (kgs)
185	83.9
180	99.0
173	63.8
168	71.3
175	65.3
183	79.6
184	70.3
174	69.2
164	56.4
169	66.2
205	88.7
161	59.7
177	64.6
174	78.8

Variables Entered/Removed(b)
Model	Variables Entered	Variables Removed	Method
1	HEIGHT(a)	.	Enter
a All requested variables entered.
b Dependent Variable: WEIGHT

Model Summary(b)
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.689(a)	.475	.432	9.00512
a Predictors: (Constant), HEIGHT
b Dependent Variable: WEIGHT

ANOVA(b)
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	881.262	1	881.262	10.867	.006(a)
	Residual	973.106	12	81.092
	Total	1854.369	13
a Predictors: (Constant), HEIGHT
b Dependent Variable: WEIGHT

Coefficients(a)
		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
Model		B	Std. Error	Beta
1	(Constant)	-60.622	40.492		-1.497	.160
	HEIGHT	.755	.229	.689	3.297	.006
a Dependent Variable: WEIGHT

What information do you look at in the output to determine whether there is a statistically significant relationship between height and weight in this sample?

Price: $2.99

Solution: The answer consists of 3 pages
Deliverables: Word Document