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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Cannone
3
75 kgHerrada
4
65 kgBrutt
9
70 kgKlimov
10
69 kgIgnatiev
11
67 kg
3
75 kgHerrada
4
65 kgBrutt
9
70 kgKlimov
10
69 kgIgnatiev
11
67 kg
Weight (KG) →
Result →
75
65
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CANNONE Donato | 75 |
| 4 | HERRADA José | 65 |
| 9 | BRUTT Pavel | 70 |
| 10 | KLIMOV Sergey | 69 |
| 11 | IGNATIEV Mikhail | 67 |