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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Thevenot
1
69 kgFournier
8
71 kgLe Gac
9
70 kgVergaerde
12
74 kgBaeyens
13
54 kg
1
69 kgFournier
8
71 kgLe Gac
9
70 kgVergaerde
12
74 kgBaeyens
13
54 kg
Weight (KG) →
Result →
74
54
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THEVENOT Guillaume | 69 |
| 8 | FOURNIER Marc | 71 |
| 9 | LE GAC Olivier | 70 |
| 12 | VERGAERDE Otto | 74 |
| 13 | BAEYENS James | 54 |