1. Were the assumptions of the test met?

2. Statistical Interpretation:

1. Interpret significance...p value.
2. How much variation is explained by the predictors?
3. How much is unexplained?

d. Explain any multicollinearity and its impact on the statistical analysis.

3. State conclusion:

Model Summary" Adjusted R Std. Error of Model R R Square Square the Estimate 1 527 278 273 1.482 a. Predictors: (Constant), energy level, Smoking History, eat 3 regular meals a day, exercise b. Dependent Variable: overall state of health ANOVA Sum of Model Squares df Mean Square F Sig. Regression 581.524 4 145.381 66.183 <.001 b residual total a. dependent variable: overall state of health b. predictors: energy level smoking history eat regular meals a day exercisecoefficients standardized unstandardized coefficients confidence interval for correlations collinearity statistics model std. error beta sig lower bound upper zero-order partial part tolerance vif .105 . .057 .214 .927 exercise .279 .522 .398 .210 .798 .344 .849 diagnostics variance proportions condition dimension eigenvalue index .01 .00 .90 .10 .54 .05 .27 .04 .70 healthresiduals minimum maximum mean deviation n predicted value .916 standard .244 .122 adjusted stud. deleted mahal. distance cook .000 centered leverage charts>