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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETRUŠ Lubomir | 58 |
| 4 | POLJAŃSKI Paweł | 63 |
| 5 | SAGAN Peter | 78 |
| 6 | BARDET Romain | 65 |
| 7 | LIETAER Eliot | 70 |
| 8 | ANTUNES Amaro | 58 |
| 9 | OWSIAN Łukasz | 66 |
| 10 | PINOT Thibaut | 63 |
| 11 | DILLIER Silvan | 75 |
| 12 | VOROBYEV Anton | 74 |
| 13 | KWIATKOWSKI Michał | 68 |
| 17 | REINHARDT Theo | 72 |