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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Reske
1
64 kgLammertink
2
61 kgLatoń
4
76 kgBrusselman
5
76 kgPodlaski
6
68 kgMarycz
8
69 kg
1
64 kgLammertink
2
61 kgLatoń
4
76 kgBrusselman
5
76 kgPodlaski
6
68 kgMarycz
8
69 kg
Weight (KG) →
Result →
76
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RESKE Tim | 64 |
| 2 | LAMMERTINK Maurits | 61 |
| 4 | LATOŃ Eryk | 76 |
| 5 | BRUSSELMAN Twan | 76 |
| 6 | PODLASKI Michał | 68 |
| 8 | MARYCZ Jarosław | 69 |