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 - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 2 | ROUTLEY Will | 69 |
| 3 | BELL Zach | 75 |
| 5 | HOULE Hugo | 72 |
| 8 | MEIER Christian | 61 |
| 10 | PARISIEN François | 64 |
| 14 | VEILLEUX David | 75 |
| 16 | ANDERSON Ryan | 66 |
| 18 | LACOMBE Keven | 81 |
| 21 | LACHANCE Jean-Michel | 72 |
| 39 | LAMBERT-LEMAY Simon | 81 |