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 + 37
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHRÉTIEN Charles-Étienne | 65 |
| 3 | FOLEY Michael | 72 |
| 7 | KINNIBURGH Jackson | 76 |
| 13 | PALAMAREK Ethan | 61 |
| 25 | JUSSAUME Tristan | 70 |
| 32 | FRONER Axel | 63 |
| 36 | MILES Carson | 64 |
| 46 | RUDDERHAM Ryan | 73 |