Question

1. (7) A regression analysis was used in a study about perceived strength (str) and body condition (cond) among seniors, both measures are in the range of 0-100. Answer questions based on the given output

                                                             Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.880^a

.704

.701

2.404

a. Predictors: (Constant), str

ANOVAb
Model			Sum of Squares		df	Mean Square		F		Sig.
1	Regression		688.725		1	688.725		101.665		.002a
	Residual		2553.465		414	6.168
	Total		3242.190		415
a. Predictors: (Constant), str b. Dependent Variable: cond
Coefficientsa
Model		Unstandardized Coefficients					Standardized Coefficients		t		Sig.
		B		Std. Error			Beta
1	(Constant)	1.96		.392					1.213		.230
	str	.93		.24			.461		3.567		.002
a. Dependent Variable: cond

1. Establish the regression equation with indication of variables x and y.

2. Is the regression model significant? Why?

3. Find and explain the R-square of this problem.

4. Provide an example to illustrate usage of the regression equation established in part a).

Answer 1