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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ormiston
1
66 kgSainbayar
2
60 kgPrevar
3
64 kgJulien
6
70 kgBudyak
8
53 kgBulut
9
64 kgAsadov
10
77 kg
1
66 kgSainbayar
2
60 kgPrevar
3
64 kgJulien
6
70 kgBudyak
8
53 kgBulut
9
64 kgAsadov
10
77 kg
Weight (KG) →
Result →
77
53
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORMISTON Callum | 66 |
| 2 | SAINBAYAR Jambaljamts | 60 |
| 3 | PREVAR Oleksandr | 64 |
| 6 | JULIEN Matisse | 70 |
| 8 | BUDYAK Anatoliy | 53 |
| 9 | BULUT Samet | 64 |
| 10 | ASADOV Elchin | 77 |