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 = -0.2 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRUZ Antonio | 66 |
| 2 | WILSON Matthew | 72 |
| 8 | FRATTINI Davide | 63 |
| 9 | VEILLEUX David | 75 |
| 14 | LACOMBE Keven | 81 |
| 15 | WYSS Danilo | 65 |
| 16 | BAZZANA Alessandro | 63.5 |
| 17 | ROTH Ryan | 70 |
| 18 | CLARKE Jonathan | 68 |
| 20 | KOHLER Martin | 69 |
| 23 | ROLLIN Dominique | 83 |
| 30 | STEWART Jackson | 72 |
| 47 | PARISIEN François | 64 |
| 48 | VOGELS Henk | 75 |
| 53 | HAEDO Lucas Sebastián | 64 |