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 = -0.5 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Boillat
2
68 kgFukushima
5
62 kgMizbani
6
67 kgKazemi
9
71 kgGeorge
15
61 kg
2
68 kgFukushima
5
62 kgMizbani
6
67 kgKazemi
9
71 kgGeorge
15
61 kg
Weight (KG) →
Result →
71
61
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOILLAT Joris | 68 |
| 5 | FUKUSHIMA Shinichi | 62 |
| 6 | MIZBANI Ghader | 67 |
| 9 | KAZEMI Sarai Ahad | 71 |
| 15 | GEORGE David | 61 |