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 - 40
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'NEILL Nathan | 72 |
| 2 | TUFT Svein | 77 |
| 3 | LOUDER Jeff | 73 |
| 4 | O'LOUGHLIN David | 68 |
| 5 | MEIER Christian | 61 |
| 7 | KRUPA Dawid | 74 |
| 8 | WOHLBERG Eric | 63 |
| 10 | CHADWICK Glen Alan | 75 |
| 13 | GILBERT Martin | 73 |
| 22 | ROLLIN Dominique | 83 |
| 31 | LACOMBE Keven | 81 |
| 35 | BELL Zach | 75 |
| 40 | ROTH Ryan | 70 |