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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Oranza
1
67 kgGaledo
2
58 kgFelipe
3
58 kgCamingao
4
55 kgCariño
7
54 kgMorales
14
59 kg
1
67 kgGaledo
2
58 kgFelipe
3
58 kgCamingao
4
55 kgCariño
7
54 kgMorales
14
59 kg
Weight (KG) →
Result →
67
54
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORANZA Ronald | 67 |
| 2 | GALEDO Mark John Lexer | 58 |
| 3 | FELIPE Marcelo | 58 |
| 4 | CAMINGAO John Mark | 55 |
| 7 | CARIÑO El Joshua | 54 |
| 14 | MORALES Jan Paul Montealegre | 59 |