Average Annual Salary ($1000s) Job Stress Tolerance Art directors 81 69.0 Astronomers Audiologists Dental hygienists Economists 96 70 70 92 62.0 67.5 71.3 63.3 69.5 62.8 65.5 60.1 69.0 Engineers Law teachers Optometrists Political scientists 92 100 98 102 65 Urban and regional planners The stress tolerance for each job is rated on a scale from 0 to 100, where a lower rating indicates less stress. Click on the datafile logo to reference the data. DATA file a. Select a scatter diagram for these data with average annual salary as the independent variable. 75 70 65 1 55 50 70 80 90 100 50 60 110 Average Annual Salary (S1000s) 75 65 60 ress Toleracne Stress Toleracne 70 60 2. 55 50 60 70 80 90 100 50 110 Average Annual Salary ($1000s) 75 70 65 3 55 50 50 60 70 100 80 90 110 Average Annual Salary (S1000s) - Select your answer - What does the scatter diagram indicate about the relationship between the two variables? - Select your answer - b. Use these data to develop an estimated regression equation that can be used to predict stress tolerance given the average annual salary. Round your answers to four decimal places. х %3D c. At the .05 level of significance, does there appear to be a significant statistical relationship between the two variables. - Select your answer - d. Would you feel comfortable in predicting the stress tolerance for a different occupation given the average annual salary for the occupation? - Select your answer - e. Does the relationship between average annual salary and stress tolerance for these data seem reasonable to you? - Select your answer - Stress Toleracne Str 60

Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…

Please see below. I am only given one opportunity at this. Please help!! Successful hotel managers must have personality characteristics often thought of as feminine (such as "compassionate") as well as those often thought of as masculine (such as "forceful"). The Bem Sex-Role Inventory (BSRI) is a personality test that gives separate ratings for female and male stereotypes, both on a scale of 1 to 7. A sample of 148 male general mangers of three-star and four-star hotels had mean BSRI femininity score of 5.29 with a SD of 0.78. The mean score for the general male population is μ=5.19. Do hotel managers on the average differ significantly in femininity score from men in general? A 2-sample test for proportions B z-test for proportions C 2-sample test for means D t-test for means E z-test for means

Is it defense or offense that wins football games? The accompanying data file includes a team’s winning record (Win in %), the average number of yards gained, and the average number of yards allowed during a recent NFL season. Team Win Yards_Gained Yards_Allowed Arizona Cardinals 46.9 366.8 305.2 Atlanta Falcons 68.8 415.8 371.2 Baltimore Ravens 50.0 347.7 322.1 Buffalo Bills 43.8 354.1 357.0 Carolina Panthers 37.5 343.7 359.8 Chicago Bears 18.8 356.5 346.8 Cincinnati Bengals 40.6 356.9 350.8 Cleveland Browns 6.2 311.0 392.4 Dallas Cowboys 81.2 376.7 343.9 Denver Broncos 56.2 323.1 316.1 Detroit Lions 56.2 338.8 354.8 Green Bay Packers 62.5 368.8 363.9 Houston Texans 56.2 314.7 301.3 Indianapolis Colts 50.0 364.4 382.9 Jacksonville Jaguars 18.8 334.9 321.7 Kansas City Chiefs 75.0 343.0 368.5 Miami Dolphins 25.0 262.7 337.0 Minnesota Vikings 62.5 332.8 382.6 New England Patriots 50.0 315.1 314.9 New Orleans Saints 87.5 386.2 326.4 New York…