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 = 1.2 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DOWNING Russell | 64 |
| 8 | LEEZER Tom | 76 |
| 9 | CURVERS Roy | 73 |
| 13 | SCHULZE André | 70 |
| 16 | MAASKANT Martijn | 76 |
| 17 | RUIJGH Rob | 64 |
| 22 | HOFFMANN Erik | 65 |
| 29 | WALGIEN Jorrit | 78 |
| 44 | FLENS Rick | 82 |
| 48 | GOESINNEN Floris | 75 |