Question

1) Find the correlation coefficient r for the given table below and use it to determine...

1) Find the correlation coefficient r for the given table below and use it to determine if there is a Strong Negative or Strong Positive or Weak Negative or Weak Positive correlation. (Check your spelling!)

Court Income 65 404 1567 1131 272 252 111 154 32
Justice Salary 30 44 92 56 46 61 25 26 18

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Listed below are amounts of court income and salaries paid to the town justices. All amounts...
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 alpha equals0.05 . Is there sufficient evidence 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 64.0 405.0 1567.0 1132.0...
A person’s muscle mass is expected to be associated with age. Some people also thought exercise...
A person’s muscle mass is expected to be associated with age. Some people also thought exercise time would be associated with the muscle mass. To explore the potential relationships between muscle mass and age, muscle mass and exercise time, a nutritionist randomly selected 20 women from a population of women with age ranging from 40 to 80 years old, and measured their muscle mass (a score without unit) and exercise time (hours per month) Patient Age MuscleMass ExcerciseTime 1 43...
Table 1. Use the information to calculate the following TC, AFC, AVC, ATC, AND MC (I...
Table 1. Use the information to calculate the following TC, AFC, AVC, ATC, AND MC (I through 50) TP TFC TVC TC AFC AVC ATC MC 150 0 (1) (11) (21) (31) (41) 2 150 70 (2) (12) (22) (32) (42) 3 150 130 (3) (13) (23) (33) (43) 4 150 240 (4) (14) (24) (34) (44) 5 150 300 (5) (15) (25) (35) (45) 6 150 360 (6) (16) (26) (36) (46) 7 150 390 (7) (17) (27) (37)...
1. What is the 95% CI for the mean starting salary of all employees who stay...
1. What is the 95% CI for the mean starting salary of all employees who stay at least 3 years? Case Study: Employee Retention at D&Y Employee Starting Salary On Road Pct State Univ CIS Degree Stayed 3 Years Tenure 1 38900 57% Yes Yes No 11 2 42300 68% Yes Yes No 5 3 39800 75% No Yes No 21 4 35700 29% No Yes Yes 5 40400 71% No Yes No 19 6 36400 62% No Yes No...
Researchers in a 2015 study by Flannery et al. sought to estimate the effectiveness of the...
Researchers in a 2015 study by Flannery et al. sought to estimate the effectiveness of the seasonal influenza vaccine in preventing acute respiratory infection (ARI). A total of 507 subjects from Texas who showed symptoms of ARI were recruited for this study. The data provided show the result of each subject's test for influenza. Click to download the data in your preferred format.    CrunchIt!    CSV    Excel    JMP    Mac-Text    Minitab    PC-Text    R   ...
A loan made on March 14 is due September 13 of the following year. Find the...
A loan made on March 14 is due September 13 of the following year. Find the exact time for the loan in a​ non-leap year and a leap year. days. The exact time in a​ non-leap year is ? days The exact time in a leap year is ? days. Data Table Sequential Numbers for Dates of the Year Day of Month Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 1 1 32 60 91 121...
Months Sales LastRate Location 398 290 8 Suburban 45 243 9 Urban 25 289 6.5 Urban...
Months Sales LastRate Location 398 290 8 Suburban 45 243 9 Urban 25 289 6.5 Urban 378 207 4.5 Rural 64 275 6 Rural 373 275 5.5 Urban 41 209 6 Urban 84 265 9 Urban 27 290 8 Suburban 36 319 7 Urban 99 327 7.5 Suburban 68 154 6.5 Suburban 18 356 5.5 Urban 29 321 6.5 Urban 28 307 7.5 Suburban 45 213 6.5 Suburban 122 273 5.5 Suburban 51 239 4.5 Suburban 24 259 6 Rural...
Pat.# Before After 1 195 125 To the left is 2 datasets measured for a sample...
Pat.# Before After 1 195 125 To the left is 2 datasets measured for a sample of 107 patients with the high cholesterol level before and after taking medication. Obtain the following for both sets: 2 208 164 3 254 152 1- the mean, mode and median 4 226 144 5 290 212 2- the variance and standard deviation 6 239 171 7 216 164 3- First, second and third quartiles 8 286 200 9 243 190 10 217 130...
Using the pivot table that you just created, determine which of the color types sold the...
Using the pivot table that you just created, determine which of the color types sold the least amount of yards using =MIN() Using the pivot table that you just created, determine which of the color types sold the largest amount of yards using =MAX() If Saeko wants to expand the colors in both the best selling and the worst selling color type, which two color types should she buy? Least amount sold: 5194 Largest amount sold: 7229 What colors should...
Use the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression...
Use the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories. Locate the observed value that is in Industrial Group 12 and has 7 employees. Based on the model and the multiple regression output, what is the corresponding residual of this observation? Write your answer as a number, round to 2 decimal places. SIC Code...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT