cmpe255-spring19-lab6
Recently, the annual number of driver deaths per 100,000 for the selected age groups was as follows:
| Age | Number of Driver Deaths per 100,000 |
|---|---|
| 17.5 | 38 |
| 22 | 36 |
| 29.5 | 24 |
| 44.5 | 20 |
| 64.5 | 18 |
| 80 | 28 |
- For each age group, pick the midpoint of the interval for the x value. (For the 75+ group, use 80.)
- Using “ages” as the independent variable and “Number of driver deaths per 100,000” as the dependent variable, make a scatter plot of the data.
- Calculate the least squares (best–fit) line. Put the equation in the form of: ŷ = a + bx
- Predict the number of deaths for ages 40 and 60.
- Based on the given data, is there a linear relationship between age of a driver and driver fatality rate?
- Find the correlation coefficient (Pearson's r). Is it significant?