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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pruus
1
71 kgGaledo
2
58 kgFelipe
6
58 kgGoh
11
54 kgMazuki
12
57 kgWallin
15
78 kg
1
71 kgGaledo
2
58 kgFelipe
6
58 kgGoh
11
54 kgMazuki
12
57 kgWallin
15
78 kg
Weight (KG) →
Result →
78
54
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRUUS Peeter | 71 |
| 2 | GALEDO Mark John Lexer | 58 |
| 6 | FELIPE Marcelo | 58 |
| 11 | GOH Choon Huat | 54 |
| 12 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 15 | WALLIN Rasmus Bøgh | 78 |