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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Lapébie
1
74 kgLe Grevès
2
70 kgChocque
4
71 kgJaminet
5
70 kgBistagne
6
82 kg
1
74 kgLe Grevès
2
70 kgChocque
4
71 kgJaminet
5
70 kgBistagne
6
82 kg
Weight (KG) →
Result →
82
70
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAPÉBIE Roger | 74 |
| 2 | LE GREVÈS René | 70 |
| 4 | CHOCQUE Paul | 71 |
| 5 | JAMINET Pierre | 70 |
| 6 | BISTAGNE Clement | 82 |