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 = 1.1 * weight - 41
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GLASNER Björn | 72 |
| 4 | HEPPNER Jens | 69 |
| 5 | POITSCHKE Enrico | 73 |
| 8 | ROBERTS Luke | 71 |
| 11 | MCLEOD Ian | 66 |
| 14 | GEORGE David | 61 |
| 22 | HEYMANS Mannie | 65 |
| 33 | BAUMANN Eric | 72 |
| 44 | GERRANS Simon | 62 |
| 45 | KANNEMEYER Tiaan | 67 |
| 46 | VAN DER BERG Johan | 68 |
| 47 | RASCH Gabriel | 72 |
| 55 | IMPEY Daryl | 72 |
| 59 | MÜLLER Martin | 79 |
| 63 | CALZATI Sylvain | 68 |
| 65 | BERTHOU Eric | 72 |