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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Breschel
1
70 kgBoasson Hagen
2
75 kgEisel
3
74 kgBožič
4
70 kgSulzberger
5
65 kg
1
70 kgBoasson Hagen
2
75 kgEisel
3
74 kgBožič
4
70 kgSulzberger
5
65 kg
Weight (KG) →
Result →
75
65
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRESCHEL Matti | 70 |
| 2 | BOASSON HAGEN Edvald | 75 |
| 3 | EISEL Bernhard | 74 |
| 4 | BOŽIČ Borut | 70 |
| 5 | SULZBERGER Wesley | 65 |