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 = -2 * weight + 165
This means that on average for every extra kilogram weight a rider loses -2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 2 | ROTH Ryan | 70 |
| 3 | BELL Zach | 75 |
| 4 | VEILLEUX David | 75 |
| 5 | WOHLBERG Eric | 63 |
| 6 | ROUTLEY Will | 69 |
| 18 | BOIVIN Guillaume | 78 |
| 44 | ANDERSON Ryan | 66 |
| 51 | LACHANCE Jean-Michel | 72 |
| 70 | PARISIEN François | 64 |