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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Gaffuri
4
67 kgSevilla
5
62 kgCamargo
6
65 kgPlamondon
7
72 kgMcDunphy
15
70 kg
4
67 kgSevilla
5
62 kgCamargo
6
65 kgPlamondon
7
72 kgMcDunphy
15
70 kg
Weight (KG) →
Result →
72
62
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GAFFURI Mattia | 67 |
| 5 | SEVILLA Óscar | 62 |
| 6 | CAMARGO Diego Andrés | 65 |
| 7 | PLAMONDON Joel | 72 |
| 15 | MCDUNPHY Conn | 70 |