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 = 0.7 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTH Ryan | 70 |
| 2 | BARRY Michael | 72 |
| 4 | DUCHESNE Antoine | 75 |
| 7 | GILBERT Martin | 73 |
| 9 | BOILY David | 60 |
| 11 | ANDERSON Ryan | 66 |
| 12 | ROUTLEY Will | 69 |
| 13 | PARISIEN François | 64 |
| 14 | HOULE Hugo | 72 |
| 18 | MEIER Christian | 61 |
| 21 | WOODS Michael | 62 |
| 23 | BOIVIN Guillaume | 78 |
| 24 | TUFT Svein | 77 |
| 25 | BELL Zach | 75 |
| 31 | VEILLEUX David | 75 |
| 44 | DAL-CIN Matteo | 77 |