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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Likhachov
1
73 kgLauke
2
73 kgOsokin
4
73 kgMoravec
6
74 kgMoral
7
68 kgMartinelli
8
74 kgChaplygin
9
80 kg
1
73 kgLauke
2
73 kgOsokin
4
73 kgMoravec
6
74 kgMoral
7
68 kgMartinelli
8
74 kgChaplygin
9
80 kg
Weight (KG) →
Result →
80
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIKHACHOV Valery | 73 |
| 2 | LAUKE Gerhard | 73 |
| 4 | OSOKIN Vladimir | 73 |
| 6 | MORAVEC Vlastimil | 74 |
| 7 | MORAL Juan José | 68 |
| 8 | MARTINELLI Giuseppe | 74 |
| 9 | CHAPLYGIN Valery | 80 |