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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kwiatkowski
1
68 kgSagan
2
78 kgGawroński
3
73 kgBardet
5
65 kgAntunes
6
58 kgPinot
8
63 kgNovák
10
71 kg
1
68 kgSagan
2
78 kgGawroński
3
73 kgBardet
5
65 kgAntunes
6
58 kgPinot
8
63 kgNovák
10
71 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KWIATKOWSKI Michał | 68 |
| 2 | SAGAN Peter | 78 |
| 3 | GAWROŃSKI Piotr | 73 |
| 5 | BARDET Romain | 65 |
| 6 | ANTUNES Amaro | 58 |
| 8 | PINOT Thibaut | 63 |
| 10 | NOVÁK Jakub | 71 |