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 + 29
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Fominykh
1
70 kgTrịnh
2
70 kgYamamoto
4
62 kgCheung
6
59 kgOranza
8
67 kgCahyadi
9
52 kgSirironnachai
10
61 kg
1
70 kgTrịnh
2
70 kgYamamoto
4
62 kgCheung
6
59 kgOranza
8
67 kgCahyadi
9
52 kgSirironnachai
10
61 kg
Weight (KG) →
Result →
70
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOMINYKH Daniil | 70 |
| 2 | TRỊNH Đức Tâm | 70 |
| 4 | YAMAMOTO Genki | 62 |
| 6 | CHEUNG King Lok | 59 |
| 8 | ORANZA Ronald | 67 |
| 9 | CAHYADI Aiman | 52 |
| 10 | SIRIRONNACHAI Sarawut | 61 |