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 + 106
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BJERG Mikkel | 78 |
| 2 | MCNULTY Brandon | 69 |
| 4 | HULGAARD Morten | 73 |
| 5 | EGHOLM Jakob | 69 |
| 6 | KRON Andreas | 63 |
| 7 | GARRISON Ian | 76 |
| 16 | STITES Tyler | 60 |
| 18 | IRVINE Declan | 75 |
| 21 | SHIGEMITSU Jo | 62 |
| 23 | STRONG Hayden | 66 |
| 24 | FOLEY Michael | 72 |
| 28 | ANDERSON Joshua | 82 |
| 43 | FOUCHÉ James | 71 |
| 48 | PALAMAREK Ethan | 61 |
| 51 | MUNDAY Samuel | 57 |
| 54 | GROUBE Carne | 69 |
| 82 | CHRÉTIEN Charles-Étienne | 65 |