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 = -2.3 * weight + 176
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Abe
1
67 kgVan De Walle
2
74 kgSijmens
16
69 kgKazemi
20
71 kgMizbani
21
67 kgChan
24
70 kgSuzuki
35
60 kgWong
47
65 kg
1
67 kgVan De Walle
2
74 kgSijmens
16
69 kgKazemi
20
71 kgMizbani
21
67 kgChan
24
70 kgSuzuki
35
60 kgWong
47
65 kg
Weight (KG) →
Result →
74
60
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABE Yoshiyuki | 67 |
| 2 | VAN DE WALLE Jurgen | 74 |
| 16 | SIJMENS Nico | 69 |
| 20 | KAZEMI Sarai Ahad | 71 |
| 21 | MIZBANI Ghader | 67 |
| 24 | CHAN Chun Hing | 70 |
| 35 | SUZUKI Shinri | 60 |
| 47 | WONG Kam-Po | 65 |