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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cox
1
62 kgMizbani
2
67 kgLouder
3
73 kgMizurov
4
68 kgIglinskiy
5
67 kgDyachenko
12
65 kgMcCann
14
73 kg
1
62 kgMizbani
2
67 kgLouder
3
73 kgMizurov
4
68 kgIglinskiy
5
67 kgDyachenko
12
65 kgMcCann
14
73 kg
Weight (KG) →
Result →
73
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COX Ryan | 62 |
| 2 | MIZBANI Ghader | 67 |
| 3 | LOUDER Jeff | 73 |
| 4 | MIZUROV Andrey | 68 |
| 5 | IGLINSKIY Maxim | 67 |
| 12 | DYACHENKO Alexandr | 65 |
| 14 | MCCANN David | 73 |