Quiz for module 5, regression

A regression analysis was used in a study about perceived Happiness 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), cond

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), cond b. Dependent Variable: happy
Coefficientsa
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.
B	Std. Error	Beta
1	(Constant)	1.96	.392		1.213	.230
cond	.93	.24	.461	3.567	.002
a. Dependent Variable: happy

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

1. Is the regression model significant? Why?

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

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

1. Anything else will you do if you are the researcher doing this analysis?