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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sagan
1
78 kgKwiatkowski
2
68 kgGawroński
3
73 kgVereecken
5
72 kgDillier
8
75 kgPinot
9
63 kgAntunes
10
58 kg
1
78 kgKwiatkowski
2
68 kgGawroński
3
73 kgVereecken
5
72 kgDillier
8
75 kgPinot
9
63 kgAntunes
10
58 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | KWIATKOWSKI Michał | 68 |
| 3 | GAWROŃSKI Piotr | 73 |
| 5 | VEREECKEN Nicolas | 72 |
| 8 | DILLIER Silvan | 75 |
| 9 | PINOT Thibaut | 63 |
| 10 | ANTUNES Amaro | 58 |