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 = -0.6 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Hofstede
2
73 kgOurselin
4
70 kgBonnamour
5
70 kgMccormick
8
72.5 kgMertz
9
70 kgFournier
10
71 kg
2
73 kgOurselin
4
70 kgBonnamour
5
70 kgMccormick
8
72.5 kgMertz
9
70 kgFournier
10
71 kg
Weight (KG) →
Result →
73
70
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOFSTEDE Lennard | 73 |
| 4 | OURSELIN Paul | 70 |
| 5 | BONNAMOUR Franck | 70 |
| 8 | MCCORMICK Hayden | 72.5 |
| 9 | MERTZ Rémy | 70 |
| 10 | FOURNIER Marc | 71 |