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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mizbani
1
67 kgBazayev
3
62 kgCox
4
62 kgMizurov
5
68 kgJørgensen
7
60 kgSaeidi Tanha
10
70 kgRatti
13
64 kg
1
67 kgBazayev
3
62 kgCox
4
62 kgMizurov
5
68 kgJørgensen
7
60 kgSaeidi Tanha
10
70 kgRatti
13
64 kg
Weight (KG) →
Result →
70
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 3 | BAZAYEV Assan | 62 |
| 4 | COX Ryan | 62 |
| 5 | MIZUROV Andrey | 68 |
| 7 | JØRGENSEN René | 60 |
| 10 | SAEIDI TANHA Abbas | 70 |
| 13 | RATTI Eddy | 64 |