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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LIE Arnaud | 78 |
| 3 | TURNER Ben | 74 |
| 4 | URIANSTAD BUGGE Martin | 61 |
| 5 | TIDBALL William | 70 |
| 6 | ASKEY Lewis | 75 |
| 7 | LIMOUSIN Maxime | 55 |
| 11 | WATSON Samuel | 68 |
| 12 | UHLIG Henri | 69 |
| 13 | JUNEAU Francis | 67 |