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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Plaza
1
77 kgAdamsson
2
68 kgPetrov
3
63 kgAuger
4
78 kgPineau
5
65 kgCasar
6
63 kg
1
77 kgAdamsson
2
68 kgPetrov
3
63 kgAuger
4
78 kgPineau
5
65 kgCasar
6
63 kg
Weight (KG) →
Result →
78
63
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLAZA Rubén | 77 |
| 2 | ADAMSSON Stefan | 68 |
| 3 | PETROV Danail Andonov | 63 |
| 4 | AUGER Ludovic | 78 |
| 5 | PINEAU Jérôme | 65 |
| 6 | CASAR Sandy | 63 |