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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WESTRA Lieuwe | 74 |
| 2 | MANCEBO Francisco | 64 |
| 3 | SAGAN Peter | 78 |
| 4 | MEERSMAN Gianni | 63 |
| 5 | MCCARTY Jonathan Patrick | 68 |
| 8 | STUYVEN Jasper | 78 |
| 9 | JONES Carter | 64 |
| 10 | RATHE Jacob | 74 |
| 13 | DOCKER Mitchell | 73 |
| 16 | PUTT Tanner | 75 |