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 = -0.7 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Gimeno
2
73 kgDidier
3
71 kgCañardo
4
77 kgClemens
7
75 kgLambrichs
11
67 kgVissers
12
65 kg
2
73 kgDidier
3
71 kgCañardo
4
77 kgClemens
7
75 kgLambrichs
11
67 kgVissers
12
65 kg
Weight (KG) →
Result →
77
65
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GIMENO Juan | 73 |
| 3 | DIDIER Christophe | 71 |
| 4 | CAÑARDO Mariano | 77 |
| 7 | CLEMENS Mathias | 75 |
| 11 | LAMBRICHS Jan | 67 |
| 12 | VISSERS Edward | 65 |