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 = 0.8 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Kuiper
6
69 kgAja
14
66 kgDíaz
21
72 kgElorriaga
26
85 kgPriem
32
75 kgRosiers
39
78 kgGilson
45
70 kg
6
69 kgAja
14
66 kgDíaz
21
72 kgElorriaga
26
85 kgPriem
32
75 kgRosiers
39
78 kgGilson
45
70 kg
Weight (KG) →
Result →
85
66
6
45
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | KUIPER Hennie | 69 |
| 14 | AJA Gonzalo | 66 |
| 21 | DÍAZ Ventura | 72 |
| 26 | ELORRIAGA Javier Francisco | 85 |
| 32 | PRIEM Cees | 75 |
| 39 | ROSIERS Roger | 78 |
| 45 | GILSON Roger | 70 |