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 - 66
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIDAR Jarno | 54 |
| 5 | PRESTIANNI Sacha | 64 |
| 10 | LIGHTFOOT Mark | 57 |
| 13 | KRANENBURG Joris | 62 |
| 15 | BONILLA Pablo Sandino | 63 |
| 19 | VAN DER VEEN Cas | 66 |
| 31 | GLUDAVS Dāvis | 76 |
| 32 | PEACE Oliver | 64 |