Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIVIANI Elia | 67 |
| 2 | CAVENDISH Mark | 70 |
| 3 | GREIPEL André | 80 |
| 4 | DOULL Owain | 71 |
| 5 | LOBATO Juan José | 64 |
| 6 | LIGTHART Pim | 72 |
| 7 | RENSHAW Mark | 74 |
| 8 | FARRAR Tyler | 73 |
| 9 | BETTIOL Alberto | 69 |
| 11 | GERTS Floris | 71 |
| 12 | POELS Wout | 66 |
| 13 | JANSE VAN RENSBURG Reinardt | 74 |
| 14 | KENNAUGH Peter | 66 |
| 15 | VAN DER LIJKE Nick | 61 |