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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 3 | PIZIKS Arvis | 70 |
| 4 | LJUNGQVIST Marcus | 73 |
| 7 | BARRY Michael | 72 |
| 8 | ARVESEN Kurt-Asle | 74 |
| 21 | SUNDERLAND Scott | 65 |
| 29 | VESTØL Bjørnar | 85 |
| 30 | DEREPAS David | 69 |
| 39 | REIHS Michael | 75 |
| 40 | VAN DIJK Stefan | 74 |