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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Marengo
1
69 kgCraddock
2
69 kgÁvila
3
61 kgMcCabe
4
72 kgAlmeida
6
63 kgSchönberger
7
64 kgCanola
8
66 kg
1
69 kgCraddock
2
69 kgÁvila
3
61 kgMcCabe
4
72 kgAlmeida
6
63 kgSchönberger
7
64 kgCanola
8
66 kg
Weight (KG) →
Result →
72
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARENGO Umberto | 69 |
| 2 | CRADDOCK Lawson | 69 |
| 3 | ÁVILA Edwin | 61 |
| 4 | MCCABE Travis | 72 |
| 6 | ALMEIDA João | 63 |
| 7 | SCHÖNBERGER Sebastian | 64 |
| 8 | CANOLA Marco | 66 |