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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Drogan
3
69 kgFignon
9
67 kgLeMond
12
67 kgUgrumov
14
58 kgChevallier
19
69 kg
3
69 kgFignon
9
67 kgLeMond
12
67 kgUgrumov
14
58 kgChevallier
19
69 kg
Weight (KG) →
Result →
69
58
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DROGAN Bernd | 69 |
| 9 | FIGNON Laurent | 67 |
| 12 | LEMOND Greg | 67 |
| 14 | UGRUMOV Piotr | 58 |
| 19 | CHEVALLIER Philippe | 69 |