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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÉRARD Julien | 70 |
| 2 | DAMUSEAU Thomas | 64 |
| 7 | OSPINA Dalivier | 62 |
| 9 | LABORIE Christophe | 67 |
| 10 | SCHMIDT Fabien | 63 |
| 11 | SOUTHAM Tom | 69 |
| 16 | BARLE Florent | 72 |
| 18 | OJAVEE Mart | 80 |
| 19 | VENTER Jaco | 70 |
| 20 | WILMANN Frederik | 69 |
| 21 | DE JONGE Maarten | 65 |
| 22 | TEKLEHAIMANOT Daniel | 70 |