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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Decomble
2
62 kgDe Lie
3
78 kgVandenstorme
5
64 kgAugé
7
61 kgDevroute
9
71 kgVercouillie
10
66 kg
2
62 kgDe Lie
3
78 kgVandenstorme
5
64 kgAugé
7
61 kgDevroute
9
71 kgVercouillie
10
66 kg
Weight (KG) →
Result →
78
61
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DECOMBLE Maxime | 62 |
| 3 | DE LIE Arnaud | 78 |
| 5 | VANDENSTORME Dylan | 64 |
| 7 | AUGÉ Ronan | 61 |
| 9 | DEVROUTE Corentin | 71 |
| 10 | VERCOUILLIE Victor | 66 |