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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Sentjens
2
85 kgDe Schuyteneer
3
74 kgChamberlain
4
74 kgLarsson
8
60 kgBauwens
11
71 kgGrömmel
18
70 kg
2
85 kgDe Schuyteneer
3
74 kgChamberlain
4
74 kgLarsson
8
60 kgBauwens
11
71 kgGrömmel
18
70 kg
Weight (KG) →
Result →
85
60
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SENTJENS Sente | 85 |
| 3 | DE SCHUYTENEER Steffen | 74 |
| 4 | CHAMBERLAIN Oscar | 74 |
| 8 | LARSSON Linus | 60 |
| 11 | BAUWENS Siebe | 71 |
| 18 | GRÖMMEL Rens | 70 |