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 | LEFÈVRE Laurent | 67 |
| 2 | VOGONDY Nicolas | 62 |
| 3 | HEULOT Stéphane | 69 |
| 5 | GOUBERT Stéphane | 62 |
| 6 | VESTØL Bjørnar | 85 |
| 7 | POILVET Benoît | 71 |
| 8 | TESSIER Jean-Michel | 70 |
| 10 | JÉGOU Lilian | 71 |
| 12 | VAUGRENARD Benoît | 72 |
| 13 | TALABARDON Sébastien | 67 |
| 15 | PORTAL Nicolas | 70 |
| 16 | FOFONOV Dmitriy | 65 |