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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Yates
1
73 kgGiling
2
72 kgDekker
3
69 kgKeisse
4
72 kgWeylandt
5
72 kg
1
73 kgGiling
2
72 kgDekker
3
69 kgKeisse
4
72 kgWeylandt
5
72 kg
Weight (KG) →
Result →
73
69
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Jeremy | 73 |
| 2 | GILING Bas | 72 |
| 3 | DEKKER Thomas | 69 |
| 4 | KEISSE Iljo | 72 |
| 5 | WEYLANDT Wouter | 72 |