DUE ON LAST DAY OF CLASS COPY/PAST THIS UNDER WEEK #4 ASSIGNMENT AND THEN SUBMIT TO THE WEEK 4 DROPBOX Extra Credit Worth Up to 12 Points Note: There are three overall questions with sub-questions, and each overall question is worth up to4 points. Overview Given the current economy, where employees are asked to do more with less, job stress is at an all time high. An organization wished to determine what factors in the work environment were causing the most job stress. A six-item survey was administered to sample 202 employees. The survey was measured on the following scale: Scale Code Strongly Agree Agree Neutral DisAgree Strongly Disagree 5 4 3 2 1 The higher the number, the more favorable. Below is each question. Employees rated each one using the scale above. Q1 . I have the resources I need (e.g., tools, equipment, supplies, personnel) to do my job effectively. (RESOURCES) Q2 . Policies and programs help me balance my work and personal commitments. (WORKLIFE) Q3 . I am satisfied with my involvement in decisions that affect me. (INVOLVEMENT) Q4 . I have the opportunities to learn and grow in my job. (LEARN) Q5 . I am satisfied with my total compensation (pay, benefits). (REWARDS) Q6 . The amount of stress I experience on the job is reasonable. (STRESS) 1. Below is computer output from SPSS, the package used in the text. The table below has descriptive statistics for each variable measured the 5-point scale, with 5 being \"Strongly Agree\" and 1 being \"Strongly Disagree\" (Favorable = \"SA or A\" St at ist ics N RESO URCES 202 0 3.9901 5.0000 5.00 1.06032 -.284 .171 -1.264 .341 Valid Missing Mean Median Mode Std. Deviation Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis WORKLIFE 202 0 4.1782 5.0000 5.00 1.00641 -.483 .171 -1.482 .341 INVO LVE MENT 201 1 3.7264 3.0000 3.00 .98476 .446 .172 -1.484 .341 LEARN 196 6 3.8673 3.0000 3.00 .99370 .270 .174 -1.947 .346 REWARDS 194 8 3.6907 3.0000 3.00 .99596 .399 .175 -1.224 .347 1a. Which variable is has the most favorable rating? (1 pt) b. Which variable has the most variation in the response? (1 pt) c. Below is a frequency distribution of the stress variable. STRESS Valid 1.00 2.00 Frequency 37 20 Percent 18.3 9.9 Cumulative Percent 18.3 28.2 STRESS 202 0 3.4010 4.0000 5.00 1.60924 .687 .171 3.280 .341 3.00 45 22.3 50.5 4.00 45 22.3 72.8 100.0 5.00 55 27.2 Total 202 100.0 What percentage of respondents \"Strongly Agree/Agree\" with their stress level being reasonable? (One number) (1 pt) What percentage of respondents \"Strongly Disagree/ Disagree\" with their stress level being reasonable? (One number) (1 pt) 2. In addition to the survey items, respondents were asked to report their age as follows: My generation is (AGE) Generation Y (Born 1981-2000) Generation X (Born 1965-1980) Baby Boomers (1946-1964) Veterans (Born 1922-1945) Below is output from an ANOVA to test if there are differences in stress levels between age groups. What was is the null hypothesis? What is the alternative hypothesis? 1 2 3 4 Below are summary statistics for STRESS 95% Confidence Interval for Mean 1.00 2.00 N 83 45 Mean 4.1325 3.0444 Std. Deviation 1.39486 1.39733 Std. Error .15311 .20830 Lower Bound 3.8280 2.6246 Upper Bound 4.4371 3.4642 Minimum 1.00 1.00 Maximum 11.00 5.00 3.00 37 2.4595 2.06283 .33913 1.7717 3.1472 1.00 11.00 4.00 37 3.1351 1.00449 .16514 2.8002 3.4701 1.00 5.00 Total 202 3.4010 1.60924 .11323 3.1777 3.6243 1.00 11.00 Which group has the lowest stress level? (1 pt) Which group has the highest stress level? (1 pt) Which group has the most variation in stress level? (1 pt) Below is the ANOVA output. ANOVA STRESS Between Groups Within Groups Total Sum of Squares 91.680 322.899 414.579 df 3 198 Mean Square 30.560 1.631 F 4.339 Sig. (Pvalue) .041 201 Are the results significant? Write a 2-3 sentence summary of your findings. (1 pt) Multiple Regression - Will Cover in Week #4 3. The organization that surveyed the employees wanted to know what factors influenced STRESS so they could take action. To do that a multiple regression analysis was run that regressed the all the items against the STRESS measure to see which ones had the most impact on stress. Below are the findings: Model Summary Adjusted R Std. Error of R R Square Square the Estimate .742(a) .55 .53 1.39776 a Predictors: (Constant), REWARDS, LEARN, WORKLIFE, RESOURCES, INVOLVEMENT Model 1 ANOVA(b) Model 1 Regression Residual Total Sum of Squares 30.233 357.533 df 5 183 Mean Square 6.047 1.954 F 3.095 Sig. .015(a) 387.766 188 a Predictors: (Constant), REWARDS, LEARN, WORKLIFE, RESOURCES, INVOLVEMENT b Dependent Variable: STRESS Coefficients(a) Unstandardized Coefficients Model 1 Standardized Coefficients B 1.992 .158 Std. Error .560 .123 WORKLIFE .148 .125 INVOLVEMENT .292 LEARN .110 REWARDS .179 (Constant) RESOURCES Beta .117 t 3.558 1.287 Sig. .000 .200 .104 2.131 .039 .136 .200 2.147 .033 .112 .076 .978 .329 .134 .124 1.330 .185 a Dependent Variable: STRESS What is the R-square and what does it mean? (1 pt) Was the overall multiple regression significant? (1 pt) Looking at each regression coefficient, which one(s), if any, are statistically significant? (1 pt) Summarize the results in 2-3 sentences. (1 pt)