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 + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLENGER Romain | 76 |
| 2 | JACQUINOT Robert | 75 |
| 4 | ARCHELAIS Jean | 64 |
| 7 | GERBAUD Robert | 76 |
| 9 | CUVELIER Georges | 65 |
| 10 | GRASSIN Robert | 62 |
| 11 | LEJEUNE Emile | 77 |
| 17 | TOUZARD Henri | 62 |
| 20 | LACOLLE Roger | 82 |
| 27 | TUFENY Georges | 64 |
| 31 | LAFOSSE Victor | 70 |
| 33 | LOISEL Julien | 53 |
| 35 | PAREL Charles | 62 |