Question: Model Summary Adjusted R Sid. Error of the Model R R Square Square Estimate 769# 591 589 10.93916 a. Predictors: (Constant), The number of hours

 Model Summary Adjusted R Sid. Error of the Model R R

Model Summary Adjusted R Sid. Error of the Model R R Square Square Estimate 769# 591 589 10.93916 a. Predictors: (Constant), The number of hours a person spends watching T.V. on a normal week ANOVA" Sum of Model Squares of Mean Square Sig Regression 34228.099 1 34228.099 286.032 $.001 Residual 23693.700 198 119.665 Total 57921.799 199 a. Dependent Variable: Cholesterol levels measured in mgidl b. Predictors: (Constant), The number of hours a person spends watching T.V. on a normal week Coefficients" Standardized Unstandardized Coofficiants Coofficiants 95.0% Confidence Interval for B Model B Std. Error Bota Sig Lower Bound Upper Bound (Constant) 190.093 1.695 112.142 <.001 the number of hours a .204 person spends watching t. v. on normal week a. dependent variable: cholesterol levels measured in moldl>

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