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 + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kupfernagel
2
68 kgWood
3
56 kgZabirova
4
65 kgStiajkina
5
51 kgUlmer
6
64 kgLe Floc'h
11
59 kgMarsal
12
53 kg
2
68 kgWood
3
56 kgZabirova
4
65 kgStiajkina
5
51 kgUlmer
6
64 kgLe Floc'h
11
59 kgMarsal
12
53 kg
Weight (KG) →
Result →
68
51
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUPFERNAGEL Hanka | 68 |
| 3 | WOOD Oenone | 56 |
| 4 | ZABIROVA Zulfiya | 65 |
| 5 | STIAJKINA Tatiana | 51 |
| 6 | ULMER Sarah | 64 |
| 11 | LE FLOC'H Magali | 59 |
| 12 | MARSAL Catherine | 53 |