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 = -0.1 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BOUHANNI Nacer | 65 |
| 9 | LINDEMAN Bert-Jan | 69 |
| 20 | JANSE VAN RENSBURG Reinardt | 74 |
| 21 | BRAVO Garikoitz | 61 |
| 23 | DELAPLACE Anthony | 65 |
| 35 | STĘPNIAK Grzegorz | 75 |
| 42 | JUUL-JENSEN Christopher | 73 |
| 54 | JANS Roy | 68 |
| 58 | GULDHAMMER Rasmus | 66 |
| 59 | VAN DER WEIJST Geert | 63 |