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age price 2 15900 5 10988 2 16980 5 10995 4 11995 5 10995 1 20365 2 16463 6 10824 1 19995 1 18650 4
age | price |
2 | 15900 |
5 | 10988 |
2 | 16980 |
5 | 10995 |
4 | 11995 |
5 | 10995 |
1 | 20365 |
2 | 16463 |
6 | 10824 |
1 | 19995 |
1 | 18650 |
4 | 10488 |
Open Camaro Practice Data in Minitab:
This data set represents the price of a random sample of Chevrolet Camaros, by age.
Use this data set to answer the following questions:
- Find the mean, median and standard deviation for the variable price.
- Create a scatter diagram using price as the dependent variable and age as the independent variable. Describe the relationship between price and age.
- Calculate the correlation coefficient between car price and age.
- Find the equation of the least-squares regression line.
- Interpret the slope of the least-squares regression line for this model.
- Interpret the intercept of the least-squares regression line for this model.
- Predict the price of a Camaro that is 3 years old.
- Find the residual for the first observation: A 2-year-old Camaro that costs $15,900 (2,15900).
- Predict the price of a Camaro that is 8 years old.
- Change age to days (consider the year = 365 days). Recalculate the correlation coefficient between car price and age (in days).
- What percent of the variation in price is explained by the age of the car in years?
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