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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HANSEN Adam | 72 |
| 2 | CLARKE Will | 81 |
| 3 | DOMONT Axel | 65 |
| 4 | FLAKEMORE Campbell | 72 |
| 5 | DIDIER Laurent | 68 |
| 6 | VAN POPPEL Boy | 78 |
| 7 | GESINK Robert | 70 |
| 8 | SUTHERLAND Rory | 75 |
| 9 | IMPEY Daryl | 72 |