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 + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Winn
1
70 kgStević
2
66 kgPetrov
9
63 kgMizbani
13
67 kgLupaș
14
74 kgChadwick
16
75 kgJovanović
35
60 kg
1
70 kgStević
2
66 kgPetrov
9
63 kgMizbani
13
67 kgLupaș
14
74 kgChadwick
16
75 kgJovanović
35
60 kg
Weight (KG) →
Result →
75
60
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WINN Julian | 70 |
| 2 | STEVIĆ Ivan | 66 |
| 9 | PETROV Danail Andonov | 63 |
| 13 | MIZBANI Ghader | 67 |
| 14 | LUPAȘ Pavel-Emil | 74 |
| 16 | CHADWICK Glen Alan | 75 |
| 35 | JOVANOVIĆ Nebojša | 60 |