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 + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Stravers
1
73 kgPetrov
2
66 kgRekita
5
70 kgGutierrez
9
63 kgGrozev
12
61 kgHansen
13
72 kgKæmpe
14
59 kg
1
73 kgPetrov
2
66 kgRekita
5
70 kgGutierrez
9
63 kgGrozev
12
61 kgHansen
13
72 kgKæmpe
14
59 kg
Weight (KG) →
Result →
73
59
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STRAVERS Jarri | 73 |
| 2 | PETROV Yordan | 66 |
| 5 | REKITA Szymon | 70 |
| 9 | GUTIERREZ José Manuel | 63 |
| 12 | GROZEV Gabriel | 61 |
| 13 | HANSEN Adam | 72 |
| 14 | KÆMPE Stinus Bjerring | 59 |