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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Peron
1
70 kgYates
2
74 kgAbduzhaparov
3
72 kgPiziks
4
70 kgOzers
5
73 kg
1
70 kgYates
2
74 kgAbduzhaparov
3
72 kgPiziks
4
70 kgOzers
5
73 kg
Weight (KG) →
Result →
74
70
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERON Andrea | 70 |
| 2 | YATES Sean | 74 |
| 3 | ABDUZHAPAROV Djamolidine | 72 |
| 4 | PIZIKS Arvis | 70 |
| 5 | OZERS Kaspars | 73 |