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 = -0.7 * weight + 78
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | TSATEVICH Alexey | 64 |
| 11 | KING Ben | 68 |
| 12 | KREDER Raymond | 70 |
| 20 | LAMBERT-LEMAY Simon | 81 |
| 23 | AFONSO Luis | 56 |
| 28 | KREDER Wesley | 71 |
| 34 | ANTUNES Amaro | 58 |
| 35 | JARRIER Benoît | 69 |
| 38 | DAMUSEAU Thomas | 64 |
| 51 | BOULO Matthieu | 62 |
| 81 | DOMONT Axel | 65 |