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 + 70
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCNULTY Brandon | 69 |
| 2 | BJERG Mikkel | 78 |
| 5 | HULGAARD Morten | 73 |
| 8 | GARRISON Ian | 76 |
| 12 | KRON Andreas | 63 |
| 14 | EGHOLM Jakob | 69 |
| 17 | STITES Tyler | 60 |
| 22 | ANDERSON Joshua | 82 |
| 23 | STRONG Hayden | 66 |
| 25 | PALAMAREK Ethan | 61 |
| 26 | GROUBE Carne | 69 |
| 35 | SHIGEMITSU Jo | 62 |
| 40 | FOUCHÉ James | 71 |
| 45 | CHRÉTIEN Charles-Étienne | 65 |
| 68 | MUNDAY Samuel | 57 |
| 69 | FOLEY Michael | 72 |
| 77 | IRVINE Declan | 75 |