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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Visconti
1
63 kgSamoilau
2
77 kgGrivko
3
70 kgNibali
4
65 kgBelkov
5
71 kgKemps
50
73 kgSulzberger
60
67 kg
1
63 kgSamoilau
2
77 kgGrivko
3
70 kgNibali
4
65 kgBelkov
5
71 kgKemps
50
73 kgSulzberger
60
67 kg
Weight (KG) →
Result →
77
63
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VISCONTI Giovanni | 63 |
| 2 | SAMOILAU Branislau | 77 |
| 3 | GRIVKO Andrey | 70 |
| 4 | NIBALI Vincenzo | 65 |
| 5 | BELKOV Maxim | 71 |
| 50 | KEMPS Aaron | 73 |
| 60 | SULZBERGER Bernard | 67 |