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 = 1.3 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GULDHAMMER Rasmus | 66 |
| 6 | BRAVO Garikoitz | 61 |
| 11 | BOUHANNI Nacer | 65 |
| 13 | LINDEMAN Bert-Jan | 69 |
| 20 | JANSE VAN RENSBURG Reinardt | 74 |
| 22 | EEFTING-BLOEM Roy | 75 |
| 36 | DELAPLACE Anthony | 65 |
| 55 | STĘPNIAK Grzegorz | 75 |
| 57 | JANS Roy | 68 |
| 63 | VAN DER WEIJST Geert | 63 |
| 72 | JUUL-JENSEN Christopher | 73 |