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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Magne
1
74 kgMartin
2
66 kgMoineau
3
66 kgCañardo
5
77 kgMagne
6
68 kgAerts
7
70 kgDupau
8
71 kgEzquerra
9
63 kg
1
74 kgMartin
2
66 kgMoineau
3
66 kgCañardo
5
77 kgMagne
6
68 kgAerts
7
70 kgDupau
8
71 kgEzquerra
9
63 kg
Weight (KG) →
Result →
77
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNE Antonin | 74 |
| 2 | MARTIN Hector | 66 |
| 3 | MOINEAU Julien | 66 |
| 5 | CAÑARDO Mariano | 77 |
| 6 | MAGNE Pierre | 68 |
| 7 | AERTS Jean | 70 |
| 8 | DUPAU Raphael | 71 |
| 9 | EZQUERRA Federico | 63 |