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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PEDERSEN Rasmus Søjberg | 74 |
| 5 | BRENNAN Matthew | 68 |
| 6 | SIMMONS Colby | 68 |
| 8 | KRAMER Jesse | 74 |
| 11 | BELLETTA Dario Igor | 73 |
| 12 | KOCKELMANN Mathieu | 70 |
| 13 | BEHRENS Niklas | 80 |
| 14 | MCDONALD Brody | 65 |
| 18 | VERBRUGGEN Luuk | 69 |
| 21 | NIELSEN Daniel Weis | 60 |
| 22 | SENTJENS Sente | 85 |
| 26 | VAN DER VEEN Cas | 66 |