Urgent

Question 7 (20 points) A study aims to identify the factors that affect Life Satisfaction. A multiple regression was conducted, involving two independent variables: Perceived Stress and Total Optimism, to test these relationships (The minimum confidence level is 95%). SPSS output is shown below: Model Summary Std. Error of the Model R R Square Estimate Adjusted R Square 323 1 5.576 -571 326 a. Predictors: (Constant), Total Optimism, Total perceived stress Coefficients Standardized Coefficients Beta Sig .000 8.748 000 -7.582 Un standardized Coefficients Model B Std. Error 1 (Constant) 21.905 2.504 Total perceived stress - 394 052 Total Optimism .497 068 a. Dependent Variable: Total life satisfaction - 340 326 7.261 .000 a) What are the null and alternative hypotheses? Make sure to include all coefficients and to write them in symbols and in words. (4 points) b) Why is Multiple Regression appropriate in this case? (2 points) c) What would you conclude from the results? Justify your answer for both independent variables. (5 points) d) Which independent variable has the higher effect on the dependent variable? Justify your answer (3 points) e) How accurate can this model predict Total Life Satisfaction? Justify your answer (3 points) 1) Using the regression equation, if a person's Perceived Stress level is 10, and his her Total Optimism is 5, what would you predict for the his her Life Satisfaction? (3 points) 8