1. Is there a statistically significant relationship in the final model? Explain using two statistics from the analysis that supports the claim.

Number of sessions patient attended Regression Variables Entered/Removed" Variables Variables Model Entered Removed Method Number of Enter sessions patient attended a. Dependent Variable: Change in patient BMI (bmi_post-bmi_pre) b. All requested variables entered. Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 420 176 .147 4.01771 a. Predictors: (Constant), Number of sessions patient attended ANOVA" Sum of Model Squares Mean Square F Sig Regression 96.767 96.767 5.995 021 0 Residual 451.976 28 16.142 Total 548.743 29 a. Dependent Variable: Change in patient BMI(bmi_post-bmi_prep IBM SPS