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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRUL Wessel | 75 |
| 2 | PAGE Hugo | 71 |
| 3 | HEALY Ben | 65 |
| 6 | BALLERSTEDT Maurice | 76 |
| 7 | ASKEY Lewis | 75 |
| 8 | FROIDEVAUX Robin | 71 |
| 9 | HEINSCHKE Leon | 70 |
| 10 | VERVLOESEM Xandres | 65 |
| 12 | FRIGO Marco | 70 |
| 13 | RICHARD Maxime | 55 |
| 14 | HESSMANN Michel | 78 |