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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Aerts
1
70 kgBresciani
4
74 kgCañardo
5
77 kgTrueba
8
58 kgAutaa
10
72 kg
1
70 kgBresciani
4
74 kgCañardo
5
77 kgTrueba
8
58 kgAutaa
10
72 kg
Weight (KG) →
Result →
77
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AERTS Jean | 70 |
| 4 | BRESCIANI Arturo | 74 |
| 5 | CAÑARDO Mariano | 77 |
| 8 | TRUEBA Vicente | 58 |
| 10 | AUTAA Marcel | 72 |