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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLER Marc | 68 |
| 2 | GROßSCHARTNER Felix | 64 |
| 3 | CARAPAZ Richard | 62 |
| 4 | OOMEN Sam | 65 |
| 5 | CORT Magnus | 68 |
| 6 | CARRETERO Héctor | 67 |
| 7 | GARCÍA CORTINA Iván | 77 |
| 8 | BOUDAT Thomas | 70 |
| 9 | GIBBONS Ryan | 70 |