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 = 0.8 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KANNEMEYER Tiaan | 67 |
| 2 | KOPP David | 68 |
| 3 | DOWNING Russell | 64 |
| 4 | VELITS Martin | 70 |
| 5 | COX Ryan | 62 |
| 7 | MORTENSEN Martin | 70 |
| 11 | AUGUSTYN John-Lee | 65 |
| 17 | ZAMANA Cezary | 74 |
| 18 | HUZARSKI Bartosz | 69 |