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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAJKA Rafał | 62 |
| 2 | SAGAN Peter | 78 |
| 3 | GULDHAMMER Rasmus | 66 |
| 4 | POLNICKÝ Jiří | 68 |
| 6 | JUUL-JENSEN Christopher | 73 |
| 10 | OWSIAN Łukasz | 66 |
| 15 | VERMOTE Julien | 74 |
| 16 | IMHOF Claudio | 80 |