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A researcher studying correlates of obesity performed a linear regression analysis of the relationship between Body Mass Index (BMI) and Diastolic Blood Pressure (DBP). Part

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A researcher studying correlates of obesity performed a linear regression analysis of the relationship between Body Mass Index (BMI) and Diastolic Blood Pressure (DBP). Part of his SPSS output is given below. ANOVA" Model Sum of Squares Mean Square F Sig Regression 7101 283 7101.283 53.513 000 Residual 156056.622 1176 132.701 Total 163157-905 1177 a. Predictors: (Constant), BM . Dependent Variable: DBP Coefficients Standardized Unstandardized Coofficiants Conficients Model 51d. Error Bets Sig (Constant 62.910 2.343 DOC BM 547 209 7.318 a. Dependent Variable: DBP Using only this output, the best estimate of the difference in mean DBP for people (in the population) with a BMI of 25.0 compared to people with a BMI of 30.0 is 0.6 5 1.0 4 5.0 0 3.2 4

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