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 + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Deignan
2
57 kgDygert
3
66 kgPaladin
4
59 kgCopponi
5
55 kgTacey
8
62 kgHenderson
10
58 kg
2
57 kgDygert
3
66 kgPaladin
4
59 kgCopponi
5
55 kgTacey
8
62 kgHenderson
10
58 kg
Weight (KG) →
Result →
66
55
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEIGNAN Elizabeth | 57 |
| 3 | DYGERT Chloé | 66 |
| 4 | PALADIN Soraya | 59 |
| 5 | COPPONI Clara | 55 |
| 8 | TACEY April | 62 |
| 10 | HENDERSON Anna | 58 |