The data shows 10 randomly selected people being asked how old is their car and how many miles are on it. Use the age of the car for the independent variable and the miles on the car for the dependent variable. Use an alpha = 0.05. Person 1: 4 years, 83, 420 miles. Person 2: 4 years, 54 917 miles. Person 3: 13 years, 128, 609 miles. Person 4: 2 years, 15,033 miles. Person 5: 16 years, 218,407 miles. Person 6: 5 years, 98,012 miles. Person 7: 6 years, 112,000 miles. Person 8: 7 years, 113, 908 miles. Person 9: 3 years, 55,015 miles. Person 10: 10 years, 102, 209 miles. 1. draw a scatter plot of the data 2.Showing all work calculate r. 3. Showing all work determine whether to reject or not reject the null hypothesis based on the t-calculation. 4. Determine the equation of best fit. 5. When x = 5 what is y? 6. Determine r^2. 7. Determine S est. 8. Find the 95% prediction interval when x = 5
The data shows 10 randomly selected people being asked how old is their car and how many miles are on it. Use the age of the car for the independent variable and the miles on the car for the dependent variable. Use an alpha = 0.05.
Person 1: 4 years, 83, 420 miles. Person 2: 4 years, 54 917 miles.
Person 3: 13 years, 128, 609 miles. Person 4: 2 years, 15,033 miles.
Person 5: 16 years, 218,407 miles. Person 6: 5 years, 98,012 miles.
Person 7: 6 years, 112,000 miles. Person 8: 7 years, 113, 908 miles.
Person 9: 3 years, 55,015 miles. Person 10: 10 years, 102, 209 miles.
1. draw a
2.Showing all work calculate r.
3. Showing all work determine whether to reject or not reject the null hypothesis based on the t-calculation.
4. Determine the equation of best fit.
5. When x = 5 what is y?
6. Determine r^2.
7. Determine S est.
8. Find the 95% prediction interval when x = 5
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