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 + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEENSEN André | 65 |
| 3 | FURLAN Angelo | 72 |
| 4 | LANDER Sebastian | 70 |
| 5 | REIHS Michael | 75 |
| 11 | BAUMANN Eric | 72 |
| 17 | MOBERG JØRGENSEN Christian | 73 |
| 21 | CORT Magnus | 68 |
| 23 | HANSEN Jesper | 60 |
| 25 | RASMUSSEN Michael | 58 |
| 32 | VALGREN Michael | 71 |
| 33 | GAEBEL Stefan | 68 |
| 36 | HENTTALA Joonas | 73 |
| 41 | MADSEN Martin Toft | 67 |