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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Habteab
1
61 kgRaileanu
2
63 kgMusialik
3
63 kgWeulink
7
62 kgHadden
9
68 kgRikunov
12
71 kgSirironnachai
13
61 kg
1
61 kgRaileanu
2
63 kgMusialik
3
63 kgWeulink
7
62 kgHadden
9
68 kgRikunov
12
71 kgSirironnachai
13
61 kg
Weight (KG) →
Result →
71
61
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HABTEAB Yoel | 61 |
| 2 | RAILEANU Cristian | 63 |
| 3 | MUSIALIK Jakub | 63 |
| 7 | WEULINK Meindert | 62 |
| 9 | HADDEN Nate | 68 |
| 12 | RIKUNOV Petr | 71 |
| 13 | SIRIRONNACHAI Sarawut | 61 |