A stratified sample of nurses from different wards at St. Peter Hospital revealed the number of burned-out individuals. The company decided to provide mental health awareness therapy for 4 weeks in the hopes of improving their condition. Below are the results of their burnout level as measured by the Maslach Burnout Inventory after a number of sessions by each participant *Question: Based on the results of the regression, what would be the most likely conclusion? * SUMMARY OUTPUT Regression Statistics Multiple R 0.049763755 R Square 0.002476431 Adjusted R Square -0.140026936 Standard Error 96.35022577 Observations ANOVA df SS MS Significance F 161.3268451 0.0173781 0.8988311 Regression Residual 1 161.3268451 64983.56204 9283.366006 Total 8 65144.88889 Upper 95% 356.5352175 P-value Lower 95% Coefficients t Stat 2.849548745 0.0247044 33.158213 Standard Error Intercept 194.8467153 68.37809518 27.56977517 number of therapv session -1.627737226 12.34763298 -0.131825851 0.8988311 -30.82525

For a multiple regression analysis with 2 and 12 degrees of freedom, MS regression is 135 and MS residual is 15. What is the decision for this test?

An admissions counselor is looking to determine an equation that relates the graduate grade point averages of students who are newly admitted to an academic program with their undergraduate GPA, their GRE scores, and the number of years they have been out of college. What is the correct format for a multiple regression equation? Select the correct answer below:   yˆ=b0+b1x1+b2x2+b3x3   yˆ=b1x1+b2x2+b3x3   yˆ=b0+b1x1+b2x2+b3x3+b4x4   yˆ=b0+b1x1+b2x2

The following table gives the data for the hours students spent on homework and their grades on the first test. The equation of the regression line for this data is yˆ=43.097+1.15x. This equation is appropriate for making predictions at the 0.01 level of significance. If a student spent 32 hours on their homework, make a prediction for their grade on the first test. Round your prediction to the nearest whole number. Hours Spent on Homework and Test Grades Hours Spent on Homework 30 30 31 42 11 27 34 47 5 29 Grade on Test 83 75 75 96 45 76 97 85 53 75

When should a regression model not be used to make a prediction?

Explain what a residual is and how this relates to the best-fit regression model.

Suppose you wanted to test whether or not the payoff to an additional year of education was the same for men and women in the STEM majors. How would you set up your regression analysis in this case

If you have 2 datasets on which you have conducted a regression analysis, how would you determine whether you can combine them into one dataset?

Suppose the following estimated regression equation was determined to predict salary based on years of experience. Estimated Salary = 29,136.63 +2257.51(Years of Experience) What is the estimated salary for an employee with 24 years of experience? Answer Keypad Keyboard Shortcuts Tables