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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMÍNGUEZ Iván | 72 |
| 8 | IGLINSKIY Maxim | 67 |
| 9 | BROŻYNA Tomasz | 65 |
| 11 | HUZARSKI Bartosz | 69 |
| 12 | WOHLBERG Eric | 63 |
| 13 | POWER Ciarán | 68 |
| 17 | ROMANIK Radosław | 62 |
| 18 | BAZAYEV Assan | 62 |
| 19 | GILBERT Martin | 73 |
| 21 | CHMIELEWSKI Piotr | 72 |