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 = 0.7 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Mancebo
2
64 kgRamírez
4
61 kgCheula
5
62 kgSerrano
6
63 kgPetrov
8
63 kgBernabéu
9
66 kgMoreno
10
63 kg
2
64 kgRamírez
4
61 kgCheula
5
62 kgSerrano
6
63 kgPetrov
8
63 kgBernabéu
9
66 kgMoreno
10
63 kg
Weight (KG) →
Result →
66
61
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MANCEBO Francisco | 64 |
| 4 | RAMÍREZ Javier | 61 |
| 5 | CHEULA Giampaolo | 62 |
| 6 | SERRANO Marcos Antonio | 63 |
| 8 | PETROV Danail Andonov | 63 |
| 9 | BERNABÉU David | 66 |
| 10 | MORENO Javier | 63 |