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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Brown
1
65 kgWellens
2
71 kgWaeytens
4
67 kgTeuns
5
64 kgGuillemois
6
66 kgHofland
8
71 kg
1
65 kgWellens
2
71 kgWaeytens
4
67 kgTeuns
5
64 kgGuillemois
6
66 kgHofland
8
71 kg
Weight (KG) →
Result →
71
64
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROWN Nathan | 65 |
| 2 | WELLENS Tim | 71 |
| 4 | WAEYTENS Zico | 67 |
| 5 | TEUNS Dylan | 64 |
| 6 | GUILLEMOIS Romain | 66 |
| 8 | HOFLAND Moreno | 71 |