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 - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gazzoli
1
76 kgSchmid
3
70 kgKierner
5
79 kgMayrhofer
8
70 kgBárta
10
79 kg
1
76 kgSchmid
3
70 kgKierner
5
79 kgMayrhofer
8
70 kgBárta
10
79 kg
Weight (KG) →
Result →
79
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAZZOLI Michele | 76 |
| 3 | SCHMID Mauro | 70 |
| 5 | KIERNER Florian | 79 |
| 8 | MAYRHOFER Marius | 70 |
| 10 | BÁRTA Tomáš | 79 |