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 + 13
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rominger
1
65 kgCamenzind
2
62 kgDufaux
3
60 kgVirenque
4
65 kgTotschnig
5
62 kg
1
65 kgCamenzind
2
62 kgDufaux
3
60 kgVirenque
4
65 kgTotschnig
5
62 kg
Weight (KG) →
Result →
65
60
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | CAMENZIND Oscar | 62 |
| 3 | DUFAUX Laurent | 60 |
| 4 | VIRENQUE Richard | 65 |
| 5 | TOTSCHNIG Georg | 62 |