Please help im stuck on this problem.
You may need to use the appropriate technology to answer this question. OTHER To identify high-paying jobs for people who do not like stress, suppose the following data were collected showing the average annual salary ($1,000s) and the stress tolerance for a variety of occupations. Job Average Annual Salary ($1,000s) Stress Tolerance Art directors 81 69.0 Astronomers 96 62.0 Audiologists 70 67.5 Dental hygienists 70 70.3 Economists 92 63.3 Engineers 92 69.5 Law teachers 100 62.8 Optometrists 98 65.5 Political scientists 102 60.1 Urban and regional planners 65 69.0 The stress tolerance for each job is rated on a scale from 0 to 100, where a lower rating indicates less stress. (a) Develop a scatter diagram for these data with average annual salary as the independent variable. 75 7 75 Stress Tolerance 70 65 60 - Stress Tolerance 70+ 65. 60- 55 - 55 50 60 70 80 90 100 110 50 O 60 70 Average Annual Salary ($1,000s) 80 90 100 110 Average Annual Salary ($1,000s) 75 75 Stress Tolerance 70- Stress Tolerance 70 65 55 60 55 50 60 70 80 O 90 100 110 Average Annual Salary ($1,000s) 50 60 70 80 90 100 110 Average Annual Salary ($1,000s)What does the scatter diagram indicate about the relationship between the two variables? There appears to be a positive linear relationship between average annual salary ($1,000s) and stress tolerance. There appears to be no noticeable relationship between average annual salary ($1,000s) and stress tolerance. There appears to be a negative linear relationship between average annual salary ($1,000s) and stress tolerance. (b) Use these data to develop an estimated regression equation that can be used to predict stress tolerance given the average annual salary (in $1,000s). (Round your numerical values to three decimal places). (c) At the 0.05 level of significance, does there appear to be a significant statistical relationship between the two variables? (Use the F test.) State the null and alternative hypotheses. O Ho : B , * 0 H2 : B 1 = 0 O Ho : B1 20 Ha : B1