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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEIER Christian | 61 |
| 4 | WOHLBERG Eric | 63 |
| 6 | LACOMBE Keven | 81 |
| 7 | VEILLEUX David | 75 |
| 9 | ROTH Ryan | 70 |
| 11 | ROUTLEY Will | 69 |
| 20 | LACHANCE Jean-Michel | 72 |
| 21 | BOIVIN Guillaume | 78 |
| 28 | ROLLIN Dominique | 83 |
| 32 | PARISIEN François | 64 |