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 - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSE VAN RENSBURG Jacques | 63 |
| 2 | STANDER Burry | 66 |
| 5 | CHAABANE Hichem | 70 |
| 6 | JANSE VAN RENSBURG Reinardt | 74 |
| 14 | THOMSON Jay Robert | 75 |
| 16 | VENTER Jaco | 70 |
| 17 | GIRDLESTONE Dylan | 66 |
| 18 | SAGAN Juraj | 65 |
| 25 | LUND Anders | 65 |
| 30 | AVERY Clinton | 90 |