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 = 1.6 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
LeMond
1
67 kgHerrera
4
57 kgUgrumov
8
58 kgSukhoruchenkov
18
72 kgDrogan
25
69 kgChevallier
31
69 kgGayant
47
69 kg
1
67 kgHerrera
4
57 kgUgrumov
8
58 kgSukhoruchenkov
18
72 kgDrogan
25
69 kgChevallier
31
69 kgGayant
47
69 kg
Weight (KG) →
Result →
72
57
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 4 | HERRERA Luis Alberto | 57 |
| 8 | UGRUMOV Piotr | 58 |
| 18 | SUKHORUCHENKOV Sergei | 72 |
| 25 | DROGAN Bernd | 69 |
| 31 | CHEVALLIER Philippe | 69 |
| 47 | GAYANT Martial | 69 |