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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Leezer
2
76 kgCherel
3
65 kgKreuziger
5
65 kgLund
6
65 kgWyss
12
65 kgKohler
20
69 kg
2
76 kgCherel
3
65 kgKreuziger
5
65 kgLund
6
65 kgWyss
12
65 kgKohler
20
69 kg
Weight (KG) →
Result →
76
65
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEEZER Tom | 76 |
| 3 | CHEREL Mikaël | 65 |
| 5 | KREUZIGER Roman | 65 |
| 6 | LUND Anders | 65 |
| 12 | WYSS Danilo | 65 |
| 20 | KOHLER Martin | 69 |