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1. Create two regression models. Regress log(SBP) against log(BMI) for men and women. Note that SBP is the variable plotted on the y-axis and BMI
1. Create two regression models. Regress log(SBP) against log(BMI) for men and women. Note that SBP is the variable plotted on the y-axis and BMI is on the x-axis. Fill in the following table with your results: Table 1. Regression Coefficients for linear models. Sex Number of Bo subjects n; Men 5004 4.2219 0.20661 Women 6571 3.8193 0.33678
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