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 + 48
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROLLIN Dominique | 83 |
| 2 | CRUZ Antonio | 66 |
| 3 | ROTH Ryan | 70 |
| 4 | VEILLEUX David | 75 |
| 6 | CLARKE Jonathan | 68 |
| 7 | BAZZANA Alessandro | 63.5 |
| 11 | KOHLER Martin | 69 |
| 13 | WILSON Matthew | 72 |
| 16 | FRATTINI Davide | 63 |
| 19 | LACOMBE Keven | 81 |
| 23 | STEWART Jackson | 72 |
| 25 | WYSS Danilo | 65 |
| 28 | PARISIEN François | 64 |
| 49 | VOGELS Henk | 75 |
| 52 | HAEDO Lucas Sebastián | 64 |