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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Smetanine
1
69 kgGarmendia
2
68 kgAxelsson
4
73 kgCuesta
6
62 kgPiepoli
7
54 kgScirea
9
80 kgHeras
10
59 kg
1
69 kgGarmendia
2
68 kgAxelsson
4
73 kgCuesta
6
62 kgPiepoli
7
54 kgScirea
9
80 kgHeras
10
59 kg
Weight (KG) →
Result →
80
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMETANINE Serguei | 69 |
| 2 | GARMENDIA Aitor | 68 |
| 4 | AXELSSON Niklas | 73 |
| 6 | CUESTA Iñigo | 62 |
| 7 | PIEPOLI Leonardo | 54 |
| 9 | SCIREA Mario | 80 |
| 10 | HERAS Roberto | 59 |