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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Eeckhout
1
73 kgBalčiūnas
2
90 kgDe Waele
3
62 kgCappelle
5
71 kgVanlandschoot
12
67 kgMifune
16
70 kg
1
73 kgBalčiūnas
2
90 kgDe Waele
3
62 kgCappelle
5
71 kgVanlandschoot
12
67 kgMifune
16
70 kg
Weight (KG) →
Result →
90
62
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 2 | BALČIŪNAS Linas | 90 |
| 3 | DE WAELE Fabien | 62 |
| 5 | CAPPELLE Andy | 71 |
| 12 | VANLANDSCHOOT James | 67 |
| 16 | MIFUNE Masahiko | 70 |