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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Chadwick
12
75 kgJovanović
14
60 kgTamouridis
16
70 kgNüttli
19
70 kgGerganov
21
60 kgPetrov
22
66 kg
12
75 kgJovanović
14
60 kgTamouridis
16
70 kgNüttli
19
70 kgGerganov
21
60 kgPetrov
22
66 kg
Weight (KG) →
Result →
75
60
12
22
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | CHADWICK Glen Alan | 75 |
| 14 | JOVANOVIĆ Nebojša | 60 |
| 16 | TAMOURIDIS Ioannis | 70 |
| 19 | NÜTTLI Jean | 70 |
| 21 | GERGANOV Evgeni | 60 |
| 22 | PETROV Daniel Bogomilov | 66 |