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 = -16.7 * weight + 1292
This means that on average for every extra kilogram weight a rider loses -16.7 positions in the result.
Ewan
1
69 kgKogut
2
77 kgTesson
3
59 kgSwift
5
69 kgRaccagni Noviero
7
75 kgLiepiņš
8
67 kgPersico
991
65 kg
1
69 kgKogut
2
77 kgTesson
3
59 kgSwift
5
69 kgRaccagni Noviero
7
75 kgLiepiņš
8
67 kgPersico
991
65 kg
Weight (KG) →
Result →
77
59
1
991
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | KOGUT Oded | 77 |
| 3 | TESSON Jason | 59 |
| 5 | SWIFT Ben | 69 |
| 7 | RACCAGNI NOVIERO Andrea | 75 |
| 8 | LIEPIŅŠ Emīls | 67 |
| 991 | PERSICO Davide | 65 |