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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Guazzini
2
65 kgKiesenhofer
3
54 kgAalerud
4
54 kgAdegeest
5
57 kgRožlapa
10
63 kgKraak
11
52 kgAllin
22
58 kg
2
65 kgKiesenhofer
3
54 kgAalerud
4
54 kgAdegeest
5
57 kgRožlapa
10
63 kgKraak
11
52 kgAllin
22
58 kg
Weight (KG) →
Result →
65
52
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAZZINI Vittoria | 65 |
| 3 | KIESENHOFER Anna | 54 |
| 4 | AALERUD Katrine | 54 |
| 5 | ADEGEEST Loes | 57 |
| 10 | ROŽLAPA Dana | 63 |
| 11 | KRAAK Amber | 52 |
| 22 | ALLIN Pauline | 58 |