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 = 2.2 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OMLOOP Geert | 78 |
| 5 | BAZAYEV Assan | 62 |
| 7 | BLACKGROVE Heath | 65 |
| 8 | IGLINSKIY Maxim | 67 |
| 9 | LISABETH Kenny | 75 |
| 14 | STAM Danny | 64 |
| 19 | ABAKOUMOV Igor | 68 |
| 25 | MAASKANT Martijn | 76 |
| 30 | LLOYD Daniel | 70 |
| 32 | INGELS Nick | 70 |
| 45 | EICHLER Markus | 78 |
| 67 | CURVERS Roy | 73 |
| 75 | GILMORE Matthew | 67 |
| 78 | FLENS Rick | 82 |
| 83 | CORDES Tom | 70 |
| 87 | BARBÉ Koen | 75 |
| 88 | SCHETS Steve | 74 |