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 = 1.4 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Sijmens
3
69 kgSuzuki
4
60 kgChan
14
70 kgWong
16
65 kgVan De Walle
24
74 kgAbe
25
67 kgMizbani
40
67 kgKazemi
41
71 kg
3
69 kgSuzuki
4
60 kgChan
14
70 kgWong
16
65 kgVan De Walle
24
74 kgAbe
25
67 kgMizbani
40
67 kgKazemi
41
71 kg
Weight (KG) →
Result →
74
60
3
41
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SIJMENS Nico | 69 |
| 4 | SUZUKI Shinri | 60 |
| 14 | CHAN Chun Hing | 70 |
| 16 | WONG Kam-Po | 65 |
| 24 | VAN DE WALLE Jurgen | 74 |
| 25 | ABE Yoshiyuki | 67 |
| 40 | MIZBANI Ghader | 67 |
| 41 | KAZEMI Sarai Ahad | 71 |