Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a =0.05. Is there sufficient evideno to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income Justice Salary 64.0 404.0 1567.01131.0 271.0 253.0 111.0 156.0 33.0 0 30 42 93 56 44 60 24 25 17 What are the null and alternative hypotheses? B. Ho p=0 O A. Ho p#0 H: p=0 OC. Họ p=0 H: p=0 O D. Ho: p=0 H, p<0 H,ip>0 Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. AJustice Salary 100- AJustice Salary 100+ Q AJustice Salary 100- AJustice Salary 100 ++++* 50 50 50 504 BÓ0 1600 Court Income B00 1600 Court Income 800 1600 Court Income 800 1600 Court Income The linear correlation coefficient is r= (Round to three decimal places as needed.)

Average Income 19320 17554 17310 15589 15266 15078 12749 9351 8866 4952 3627 3412 2554 2296 1871 1809 1710 1621 1345 1282 1171 1109 1091 810 585 Average Life Expectancy 76.25 75.3 78.65 75.51 76.19 76.36 73.73 73.9 76.38 71.16 64.19 74.35 57.53 56.64 62.71 57.34 54.98 46.93 52.24 53.44 60.99 57.21 49.99 45.91 60.03 In this practice assignment, you will use spreadsheet regression or the online regression calculator at http://www.alcula.com/calculators/statistics/linear- regression to examine the relationship between average annual income and average life expectancy in a country. This relationship is called the Preston curve. Open QR 8D Spreadsheet_Practice, which gives the average annual income and average life expectancy in 25 low-income countries. Each row corresponds to a country. Use technology (spreadsheet regression or the Alcula website given above) to create a scatterplot and regression equation for the Preston curve data. Round all answer values to the nearest ten thousandth…

Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week.   Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0   2 32 34 -2   3 24 25 -1   4 28 30 -2   5 26 29 -3   What is the SS of the mean differences (i.e., Σ(Di - Mdiff)2)? Round to 2 decimal places.

Please help it’s not graded