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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TALANSKY Andrew | 63 |
| 2 | NAVARRO Daniel | 60 |
| 3 | PARDILLA Sergio | 65 |
| 4 | PINOT Thibaut | 63 |
| 5 | LUTSENKO Alexey | 74 |
| 6 | GADRET John | 58 |
| 7 | MAJKA Rafał | 62 |
| 8 | BARDET Romain | 65 |
| 9 | OLIVIER Daan | 64 |
| 10 | BONNAFOND Guillaume | 68 |