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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NEWTON Christopher | 69 |
| 5 | WHITE Matthew | 72 |
| 6 | VALACH Ján | 75 |
| 8 | GONO Marcel | 69 |
| 12 | GEORGE David | 61 |
| 15 | GRABSCH Ralf | 81 |
| 20 | TANNER John | 70 |
| 21 | GREEN Roland | 75 |
| 28 | ESPIRITU Victor | 56 |
| 32 | DE GROOT Bram | 65 |