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 = -1.2 * weight + 89
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Scheuneman
1
75 kgde Maar
2
70 kgClaude
3
69 kgNordhaug
8
63 kgMorabito
12
74 kgSantaromita
29
58 kg
1
75 kgde Maar
2
70 kgClaude
3
69 kgNordhaug
8
63 kgMorabito
12
74 kgSantaromita
29
58 kg
Weight (KG) →
Result →
75
58
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHEUNEMAN Niels | 75 |
| 2 | DE MAAR Marc | 70 |
| 3 | CLAUDE Mathieu | 69 |
| 8 | NORDHAUG Lars Petter | 63 |
| 12 | MORABITO Steve | 74 |
| 29 | SANTAROMITA Ivan | 58 |