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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Fontan
1
66 kgCañardo
2
77 kgCuvelier
3
65 kgPancera
4
69 kgLe Drogo
8
80 kg
1
66 kgCañardo
2
77 kgCuvelier
3
65 kgPancera
4
69 kgLe Drogo
8
80 kg
Weight (KG) →
Result →
80
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTAN Victor | 66 |
| 2 | CAÑARDO Mariano | 77 |
| 3 | CUVELIER Georges | 65 |
| 4 | PANCERA Giuseppe | 69 |
| 8 | LE DROGO Ferdinand | 80 |