part d dropdown: at least .55 or less than .55 did not provide or provided should or should not Data was gathered showing the average annual salary ($1,000s) and the average retirement age for a variety of jobs.Average AnnualSalary ($1,000s)Average Retirement Age (years)Art directorsAstronomersAudiologistsDental hygienistsEconomistsEngineersLaw teachersOptometristsPolitical scientistsJob75706560555060708180967070929210098102Urban and regional planners(a) Develop a scatter diagram for these data with average annual salary as the independent variable.6590 100 110Average RetirementAge (years)Average Annual Salary ($1,000s)7570656069.05561.067.572.363.369.561.865.560.169.050706080 90 100Average Annual Salary ($1,000s)110757065605550What does the scatter diagram indicate about the relationship between the two variables?O There appears to be no noticeable relationship between average annual salary ($1,000s) and average retirement age (years).O There appears to be a negative linear relationship between average annual salary ($1,000s) and average retirement age (years).O There appears to be a positive linear relationship between average annual salary ($1,000s) and average retirement age (years).6090 100Average Annual Salary ($1,000s)7080110757065605550706090 100Average Annual Salary ($1,000s)80(b) Use these data to develop an estimated regression equation that can be used to predict average retirement age (years) given the average annual salary (in $1,000s). (Round your numerical values to three decimal places).ŷ =110 (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: ³₁Ha: B₁ * 0#O Ho: B₁ ≥ 0Ha: B₁ <0= 0ọ Hoi Bo #0Ha: Bo = 0Ho: B₁ * 0Ha: B₁Ọ Ho: BoHa'= 0= 0#0Find the value of the test statistic for the F test. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.)p-value =State your conclusion.O Do not reject Ho. We cannot conclude that the relationship between average annual salary ($1,000s) and average retirement age (years) is significant.O Reject Ho. We conclude that the relationship between average annual salary ($1,000s) and average retirement age (years) is significant.O Do not reject Ho. We conclude that the relationship between average annual salary ($1,000s) and average retirement age (years) is significant.Reject Ho. We cannot conclude that the relationship between average annual salary ($1,000s) and average retirement age (years) is significant.(d) Would you feel comfortable in predicting the average retirement age for a different occupation given the average annual salary for the occupation? Explain. (Round your answer to three decimal places.)Since r² =is ---Select---, the estimated regression equation --Select---salary is within the range of the current data.a good fit. Therefore, we ---Select--- ✓ feel comfortable using the estimated regression equation to estimate the average retirement age given the average annual salary if the value of the average annual

According to Bartleby guidelines here is only solution for first 3 parts. first type data in excel…

ata was gathered showing the average annual salary ($1,000s) and the average retirement age for a variety of jobs. Average Annual Salary ($1,000s) Average Retirement Age (years) O Art directors Astronomers Audiologists Dental hygienists Economists Engineers Law teachers Optometrists Job Political scientists Urban and regional planners 70 65 60+ 55- 50 81 . 96 70 70 92 92 100 98 102 65 60 70 80 90 100 110 Average Annual Salary ($1,000s) (a) Develop a scatter diagram for these data with average annual salary as the independent variable. 75 T 75 69.0 61.0 60 67.5 72.3 55 63.3 69.5 61.8 65.5 60.1 69.0 70- 65 50 60 80 90 100 110 Average Annual Salary ($1,000s) 70 75 70 65 60 55 50 What does the scatter diagram indicate about the relationship between the two variables? O There appears to be no noticeable relationship between average annual salary ($1,000s) and average retirement age (years). O There appears to be a negative linear relationship between average annual salary ($1,000s) and average retirement age (years). O There appears to be a positive linear relationship between average annual salary ($1,000s) and average retirement age (years). 60 70 80 90 100 Average Annual Salary ($1,000s) 110 75 70 65- 60 55 50 60 80 90 100 110 Average Annual Salary ($1,000s) 70 (b) Use these data to develop an estimated regression equation that can be used to predict average retirement age (years) given the average annual salary (in $1,000s). (Round your numerical values to three decimal places). ý= @

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 22EQ