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 = 0.8 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Fignon
1
67 kgSaronni
3
65 kgArgentin
10
66 kgCaroli
13
77 kgMoser
15
79 kg
1
67 kgSaronni
3
65 kgArgentin
10
66 kgCaroli
13
77 kgMoser
15
79 kg
Weight (KG) →
Result →
79
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 3 | SARONNI Giuseppe | 65 |
| 10 | ARGENTIN Moreno | 66 |
| 13 | CAROLI Daniele | 77 |
| 15 | MOSER Francesco | 79 |