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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Fagúndez
1
67 kgHindsgaul
2
67 kgGarcía Pierna
3
58 kgDelacroix
4
70 kgUrruty
5
59 kg
1
67 kgHindsgaul
2
67 kgGarcía Pierna
3
58 kgDelacroix
4
70 kgUrruty
5
59 kg
Weight (KG) →
Result →
70
58
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAGÚNDEZ Eric Antonio | 67 |
| 2 | HINDSGAUL Jacob | 67 |
| 3 | GARCÍA PIERNA Carlos | 58 |
| 4 | DELACROIX Théo | 70 |
| 5 | URRUTY Maxime | 59 |