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 - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURKE Jack | 67 |
| 2 | VILLALOBOS Luis | 66 |
| 4 | SWIRBUL Keegan | 65 |
| 6 | MONK Cyrus | 67 |
| 11 | STITES Tyler | 60 |
| 12 | ROBERGE Adam | 72 |
| 13 | CÔTÉ Pier-André | 74 |
| 14 | HERNANDEZ Michael | 74 |
| 17 | GERVAIS Laurent | 72 |