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 - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Roy
2
70 kgSantaromita
3
58 kgChristensen
4
69 kgScheuneman
5
75 kgMorabito
18
74 kg
2
70 kgSantaromita
3
58 kgChristensen
4
69 kgScheuneman
5
75 kgMorabito
18
74 kg
Weight (KG) →
Result →
75
58
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROY Jérémy | 70 |
| 3 | SANTAROMITA Ivan | 58 |
| 4 | CHRISTENSEN Mads | 69 |
| 5 | SCHEUNEMAN Niels | 75 |
| 18 | MORABITO Steve | 74 |