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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pourhashemi
1
64 kgLebas
2
65 kgToribio
3
64 kgSuzuki
5
58 kgMonier
8
75 kgSirironnachai
9
61 kg
1
64 kgLebas
2
65 kgToribio
3
64 kgSuzuki
5
58 kgMonier
8
75 kgSirironnachai
9
61 kg
Weight (KG) →
Result →
75
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POURHASHEMI Hamid | 64 |
| 2 | LEBAS Thomas | 65 |
| 3 | TORIBIO José Vicente | 64 |
| 5 | SUZUKI Ryu | 58 |
| 8 | MONIER Damien | 75 |
| 9 | SIRIRONNACHAI Sarawut | 61 |