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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEINTJES Louis | 58 |
| 2 | KUDUS Merhawi | 58 |
| 3 | CARTHY Hugh | 69 |
| 4 | BUCHMANN Emanuel | 59 |
| 5 | EYOB Metkel | 61 |
| 6 | DROBISCH Till | 63 |
| 7 | SMIT Willie | 72 |
| 10 | DOUGALL Nic | 72 |
| 13 | VAN NIEKERK Morné | 64 |
| 18 | JULIUS Jayde | 59 |
| 19 | GIBBONS Ryan | 70 |
| 27 | WEINSTEIN Domenic | 80 |
| 28 | KOISHI Yuma | 62 |