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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERRANS Simon | 62 |
| 2 | GREIPEL André | 80 |
| 3 | VON HOFF Steele | 70 |
| 4 | ULISSI Diego | 63 |
| 5 | GESCHKE Simon | 64 |
| 6 | BOUET Maxime | 67 |
| 7 | GAVAZZI Francesco | 65 |
| 8 | CLARKE Will | 81 |
| 10 | VALLS Rafael | 64 |
| 11 | EVANS Cadel | 64 |
| 12 | GESINK Robert | 70 |