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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTANELLI Fabiano | 68 |
| 2 | VAN HEESWIJK Max | 73 |
| 3 | MONCOUTIÉ David | 69 |
| 5 | RUMŠAS Raimondas | 64 |
| 6 | JENNER Christopher | 68 |
| 10 | HAUPTMAN Andrej | 70 |
| 11 | IVANOV Sergei | 73 |
| 12 | MORIN Anthony | 79 |
| 13 | JULICH Bobby | 68 |
| 15 | SIMON François | 70 |
| 16 | RINERO Christophe | 65 |
| 17 | HEULOT Stéphane | 69 |