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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Clemens
1
75 kgMartano
2
74 kgDidier
4
71 kgLambrichs
7
67 kgCañardo
8
77 kgVissers
10
65 kg
1
75 kgMartano
2
74 kgDidier
4
71 kgLambrichs
7
67 kgCañardo
8
77 kgVissers
10
65 kg
Weight (KG) →
Result →
77
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLEMENS Mathias | 75 |
| 2 | MARTANO Giuseppe | 74 |
| 4 | DIDIER Christophe | 71 |
| 7 | LAMBRICHS Jan | 67 |
| 8 | CAÑARDO Mariano | 77 |
| 10 | VISSERS Edward | 65 |