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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Longo Borghini
1
59 kgLichtenberg
2
52 kgKupfernagel
3
68 kgJohansson
5
58 kgBoyarskaya
6
67 kgDeignan
9
57 kg
1
59 kgLichtenberg
2
52 kgKupfernagel
3
68 kgJohansson
5
58 kgBoyarskaya
6
67 kgDeignan
9
57 kg
Weight (KG) →
Result →
68
52
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LONGO BORGHINI Elisa | 59 |
| 2 | LICHTENBERG Claudia | 52 |
| 3 | KUPFERNAGEL Hanka | 68 |
| 5 | JOHANSSON Emma | 58 |
| 6 | BOYARSKAYA Natalia | 67 |
| 9 | DEIGNAN Elizabeth | 57 |