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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Aerts
2
70 kgMoineau
3
66 kgCañardo
4
77 kgMartin
5
66 kgMagne
6
74 kgEzquerra
7
63 kgMagne
10
68 kg
2
70 kgMoineau
3
66 kgCañardo
4
77 kgMartin
5
66 kgMagne
6
74 kgEzquerra
7
63 kgMagne
10
68 kg
Weight (KG) →
Result →
77
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AERTS Jean | 70 |
| 3 | MOINEAU Julien | 66 |
| 4 | CAÑARDO Mariano | 77 |
| 5 | MARTIN Hector | 66 |
| 6 | MAGNE Antonin | 74 |
| 7 | EZQUERRA Federico | 63 |
| 10 | MAGNE Pierre | 68 |