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 + 22
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | POLLACK Olaf | 77 |
| 5 | LUPEIKIS Remigius | 80 |
| 10 | LEUKEMANS Björn | 67 |
| 17 | SCHMITZ Bram | 77 |
| 22 | SABALIAUSKAS Marius | 76 |
| 23 | HAYMAN Mathew | 78 |
| 29 | VAN DIJK Stefan | 74 |
| 31 | STAM Danny | 64 |
| 33 | PRONK Matthé | 73 |
| 38 | PINTARIČ Robert | 69 |
| 40 | MÜLLER Martin | 79 |
| 52 | BALČIŪNAS Linas | 90 |
| 57 | VENEBERG Thorwald | 75 |
| 64 | VAN DER STEEN Niels | 70 |