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 = 0.5 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Joly
1
75 kgDecroix
2
68 kgWauters
4
72 kgLemaire
8
72 kgLaloup
9
72 kgDebusschere
10
79 kg
1
75 kgDecroix
2
68 kgWauters
4
72 kgLemaire
8
72 kgLaloup
9
72 kgDebusschere
10
79 kg
Weight (KG) →
Result →
79
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOLY Émile | 75 |
| 2 | DECROIX Emile | 68 |
| 4 | WAUTERS Jean | 72 |
| 8 | LEMAIRE Georges | 72 |
| 9 | LALOUP Georges | 72 |
| 10 | DEBUSSCHERE Jean | 79 |