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) |
|---|---|---|
| 7 | BRAVO Garikoitz | 61 |
| 8 | BOUHANNI Nacer | 65 |
| 10 | LINDEMAN Bert-Jan | 69 |
| 21 | JANSE VAN RENSBURG Reinardt | 74 |
| 22 | DELAPLACE Anthony | 65 |
| 45 | GULDHAMMER Rasmus | 66 |
| 47 | STĘPNIAK Grzegorz | 75 |
| 51 | JUUL-JENSEN Christopher | 73 |
| 55 | JANS Roy | 68 |
| 60 | VAN DER WEIJST Geert | 63 |