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 = -3.3 * weight + 242
This means that on average for every extra kilogram weight a rider loses -3.3 positions in the result.
Sijmens
1
69 kgAbe
2
67 kgVan De Walle
3
74 kgKazemi
16
71 kgMizbani
22
67 kgChan
24
70 kgSuzuki
45
60 kgWong
53
65 kg
1
69 kgAbe
2
67 kgVan De Walle
3
74 kgKazemi
16
71 kgMizbani
22
67 kgChan
24
70 kgSuzuki
45
60 kgWong
53
65 kg
Weight (KG) →
Result →
74
60
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIJMENS Nico | 69 |
| 2 | ABE Yoshiyuki | 67 |
| 3 | VAN DE WALLE Jurgen | 74 |
| 16 | KAZEMI Sarai Ahad | 71 |
| 22 | MIZBANI Ghader | 67 |
| 24 | CHAN Chun Hing | 70 |
| 45 | SUZUKI Shinri | 60 |
| 53 | WONG Kam-Po | 65 |