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 = 0.9 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POITSCHKE Enrico | 73 |
| 3 | MCLEOD Ian | 66 |
| 4 | ROBERTS Luke | 71 |
| 5 | GEORGE David | 61 |
| 13 | HEPPNER Jens | 69 |
| 16 | HEYMANS Mannie | 65 |
| 22 | BAUMANN Eric | 72 |
| 29 | GLASNER Björn | 72 |
| 30 | GERRANS Simon | 62 |
| 31 | RASCH Gabriel | 72 |
| 35 | KANNEMEYER Tiaan | 67 |
| 37 | MÜLLER Martin | 79 |
| 38 | BERTHOU Eric | 72 |
| 40 | VAN DER BERG Johan | 68 |
| 41 | CALZATI Sylvain | 68 |
| 47 | IMPEY Daryl | 72 |
| 61 | GONO Marcel | 69 |