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 = -0.3 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Halgand
1
67 kgBouyer
4
65 kgJalabert
5
68 kgYakovlev
6
70 kgChanteur
7
62 kgBordenave
8
55 kgFritsch
9
65 kg
1
67 kgBouyer
4
65 kgJalabert
5
68 kgYakovlev
6
70 kgChanteur
7
62 kgBordenave
8
55 kgFritsch
9
65 kg
Weight (KG) →
Result →
70
55
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALGAND Patrice | 67 |
| 4 | BOUYER Franck | 65 |
| 5 | JALABERT Nicolas | 68 |
| 6 | YAKOVLEV Serguei | 70 |
| 7 | CHANTEUR Pascal | 62 |
| 8 | BORDENAVE Philippe | 55 |
| 9 | FRITSCH Nicolas | 65 |