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 + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Duclos-Lassalle
4
73 kgDemeyer
10
85 kgMartin
13
62 kgHayton
23
69 kgBayton
24
61 kg
4
73 kgDemeyer
10
85 kgMartin
13
62 kgHayton
23
69 kgBayton
24
61 kg
Weight (KG) →
Result →
85
61
4
24
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DUCLOS-LASSALLE Gilbert | 73 |
| 10 | DEMEYER Marc | 85 |
| 13 | MARTIN Raymond | 62 |
| 23 | HAYTON Dudley | 69 |
| 24 | BAYTON Phil | 61 |