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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Goldstein
1
61 kgSagiv
3
68 kgLoginov
4
66 kgEinhorn
5
72 kgHalabi
6
66 kg
1
61 kgSagiv
3
68 kgLoginov
4
66 kgEinhorn
5
72 kgHalabi
6
66 kg
Weight (KG) →
Result →
72
61
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOLDSTEIN Omer | 61 |
| 3 | SAGIV Guy | 68 |
| 4 | LOGINOV Vladislav | 66 |
| 5 | EINHORN Itamar | 72 |
| 6 | HALABI Shadi | 66 |