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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Magnien
1
68 kgCapelle
3
73 kgZamana
4
74 kgSmetanine
5
69 kgKelly
6
77 kgSimon
11
70 kgPérez
13
68 kgGoubert
14
62 kg
1
68 kgCapelle
3
73 kgZamana
4
74 kgSmetanine
5
69 kgKelly
6
77 kgSimon
11
70 kgPérez
13
68 kgGoubert
14
62 kg
Weight (KG) →
Result →
77
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 3 | CAPELLE Christophe | 73 |
| 4 | ZAMANA Cezary | 74 |
| 5 | SMETANINE Serguei | 69 |
| 6 | KELLY Sean | 77 |
| 11 | SIMON François | 70 |
| 13 | PÉREZ Xavier | 68 |
| 14 | GOUBERT Stéphane | 62 |