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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Egli
1
72 kgEzquerra
2
63 kgGianello
4
57 kgMolina
5
62 kgBartali
8
69 kgÁlvarez
9
61 kgMontero
10
74 kg
1
72 kgEzquerra
2
63 kgGianello
4
57 kgMolina
5
62 kgBartali
8
69 kgÁlvarez
9
61 kgMontero
10
74 kg
Weight (KG) →
Result →
74
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EGLI Paul | 72 |
| 2 | EZQUERRA Federico | 63 |
| 4 | GIANELLO Dante | 57 |
| 5 | MOLINA Salvador | 62 |
| 8 | BARTALI Gino | 69 |
| 9 | ÁLVAREZ Emiliano | 61 |
| 10 | MONTERO Luciano | 74 |