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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KROON Karsten | 67 |
| 2 | GRABSCH Ralf | 81 |
| 3 | VESTØL Bjørnar | 85 |
| 7 | PIIL Jakob Storm | 65 |
| 11 | PANKOV Oleg | 72 |
| 14 | HULSMANS Kevin | 75 |
| 15 | ENGELS Addy | 64 |
| 18 | PRONK Matthé | 73 |
| 19 | KARLSSON Jan | 75 |
| 29 | SABALIAUSKAS Marius | 76 |