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.
Suaza
1
66 kgSáez
2
75 kgThalmann
3
61 kgvan der Poel
4
75 kgSmukulis
5
72 kgWalsleben
6
66 kg
1
66 kgSáez
2
75 kgThalmann
3
61 kgvan der Poel
4
75 kgSmukulis
5
72 kgWalsleben
6
66 kg
Weight (KG) →
Result →
75
61
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUAZA Bernardo | 66 |
| 2 | SÁEZ Héctor | 75 |
| 3 | THALMANN Roland | 61 |
| 4 | VAN DER POEL Mathieu | 75 |
| 5 | SMUKULIS Gatis | 72 |
| 6 | WALSLEBEN Philipp | 66 |