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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bonduel
1
74 kgPirmez
4
76 kgArchambaud
6
66 kgMerviel
7
68 kgZimmermann
9
72 kgGalateau
10
76 kg
1
74 kgPirmez
4
76 kgArchambaud
6
66 kgMerviel
7
68 kgZimmermann
9
72 kgGalateau
10
76 kg
Weight (KG) →
Result →
76
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONDUEL Frans | 74 |
| 4 | PIRMEZ Théo | 76 |
| 6 | ARCHAMBAUD Maurice | 66 |
| 7 | MERVIEL Jules | 68 |
| 9 | ZIMMERMANN Robert | 72 |
| 10 | GALATEAU Fabien | 76 |