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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van Dijk
1
71 kgMarkus
2
61 kgReusser
3
70 kgArchibald
4
75 kgKlein
5
61 kgWood
6
59 kgRoy
7
66 kgJackson
14
63 kg
1
71 kgMarkus
2
61 kgReusser
3
70 kgArchibald
4
75 kgKlein
5
61 kgWood
6
59 kgRoy
7
66 kgJackson
14
63 kg
Weight (KG) →
Result →
75
59
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 2 | MARKUS Riejanne | 61 |
| 3 | REUSSER Marlen | 70 |
| 4 | ARCHIBALD Katie | 75 |
| 5 | KLEIN Lisa | 61 |
| 6 | WOOD Alice | 59 |
| 7 | ROY Sarah | 66 |
| 14 | JACKSON Alison | 63 |