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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDET Nicolas | 60 |
| 2 | PINOT Thibaut | 63 |
| 3 | FUMEAUX Jonathan | 61 |
| 4 | BÉRARD Julien | 70 |
| 5 | GASTAUER Ben | 73 |
| 7 | SERRY Pieter | 66 |
| 11 | CHAIGNEAU Robin | 80 |
| 14 | KNEISKY Morgan | 68 |
| 15 | DHAENE Brecht | 73 |
| 18 | GRETSCH Patrick | 69 |
| 24 | ZANGERLE Joel | 63 |