Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics R Square Change F Change df1 df2 Sig. F Change 1 .547a .300 .277 .599 .300 13.043 4 122 .000 Coefficients Model Unstandardized Coefficients Stand-Co-efficients t Sig. 95.0% Confidence Interval for B B Std. Error Beta Lower Bound Upper Bound 1 Self-management Score .126 .038 .225 2.185 .014 .046 .418 Self-Confidence Score .251 .054 .403 -2.980 .000 1.87 4.46 age .017 .064 .009 .266 .790 -.109 .143 BMI -.065 .976 -.078 -.992 .323 -.039 .013 a. Dependent Variable: Quality of Life Based on the outputs above, write an interpretation about your results (variance, model, significant predictors) and draw a model if possible. (6 marks) Explai