Use simple and multivariable linear regression analysis to complete the following table relating the characteristics listed to BMI as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables. If participants are excluded due to missing data, the numbers excluded should be reported. Then, describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences? Outcome Variable: BMI, kg/m Regression Regression Coefficient Coefficient Characteristic p-value Crude Models Multivariable p-value Model Age, years 1 23E- 0.063 18 0.063