ANOVA Sum of Model Squares df Mean Square F Sig 1 Regression 7676.012 1 7676.012 29.262 Model Regression Residual Total Sum of Squares 7676.012 6033.348

ANOVA Sum of Model Squares df Mean Square F Sig 1 Regression 7676.012 1 7676.012 29.262 <.001 residual total a. dependent variable: weight b. predictors: height coefficients standardized unstandardized confidence interval for b model std. error beta t sig lower bound upper residuals statistics minimum maximum mean deviation n predicted value .00000 descriptive correlations pearson correlation .748 sig. variables entered removed method enter all requested entered. summary adjusted r of square the estimate p-p plot regression expected cum prob . observed probobserved scatterplot valueperform following computations using significance level x versus y scatter equation by x. c. test as a predictor>

Model Regression Residual Total Sum of Squares 7676.012 6033.348 13709.360 ANOVAa df 23 24 Mean Square 7676.012 262.319 29.262 a. Dependent Variable: Weight (lbs) b. Predictors: (Constant), Height (inches) Unstandardized Coefficients Model Std. Error 63.176 .931 Coefficients Standardized Coefficients .748 Sig.