Statistical Scenario 2 Quality of life should be assessed among patients with chronic diseases. In research, the single item quality of life is used to assess this concept, ranging from 1 (poor) to 5 (excellent). Factors influencing quality of individuals' life are well- documented in the literature. A researcher proposed higher BMI values, low self-control scores (SE-score, interval), and advanced age (interval), and low self- satisfaction predict lower levels of quality of life (Quality-life, interval level). Model Summary Std. Error Change Statistics R Adjusted of the Model R Square R Square Estimate R Square Change F Sig. F 547 .300 277 .599 .300 1 Change 13.043 df1 df2 Change 4 122 .000 Coefficients Stand- Unstandardized Co- Coefficients efficients 95.0% Satisfaction Interval for B Std. Lower Upper B Error Beta t Sig. Bound Bound Model 1 Self-control Score .251 .054 .403 -2.980 .000 1.87 4.46 Self-satisfaction Score .126 .038 .225 2.185 .014 .046 .418 age .017 .064 BMI -.065 .976 -.078 .009 .266 .790 -.992 .323 -109 .143 -.039 .013 a. Dependent Variable: Quality of Life 1. Based on the outputs above, write an interpretation about your results (variance, model, significant predictors) and draw a model if possible. 2. Explain why some variables that are not significant based on p-value and satisfaction intervals.