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 = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Leyder
1
69 kgRivera
4
60 kgArchimandritis
9
65 kgThymides
14
62 kgAgrotis
23
72 kgLangellotti
28
64 kg
1
69 kgRivera
4
60 kgArchimandritis
9
65 kgThymides
14
62 kgAgrotis
23
72 kgLangellotti
28
64 kg
Weight (KG) →
Result →
72
60
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEYDER Pit | 69 |
| 4 | RIVERA Brandon Smith | 60 |
| 9 | ARCHIMANDRITIS Armanto | 65 |
| 14 | THYMIDES Constantinos | 62 |
| 23 | AGROTIS Alexandros | 72 |
| 28 | LANGELLOTTI Victor | 64 |