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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Zabel
1
69 kgSacchi
3
68 kgKlier
4
72 kgBartko
5
78 kgBecke
6
75 kgSchmidt
8
73 kgTrenti
9
68 kg
1
69 kgSacchi
3
68 kgKlier
4
72 kgBartko
5
78 kgBecke
6
75 kgSchmidt
8
73 kgTrenti
9
68 kg
Weight (KG) →
Result →
78
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 3 | SACCHI Fabio | 68 |
| 4 | KLIER Andreas | 72 |
| 5 | BARTKO Robert | 78 |
| 6 | BECKE Daniel | 75 |
| 8 | SCHMIDT Torsten | 73 |
| 9 | TRENTI Guido | 68 |