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 = -1 * weight + 74
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Proni
2
68 kgGrivko
4
70 kgJaniaczyk
6
68 kgLoubet
9
66 kgColli
15
73 kgRiccò
20
57 kgErmeti
23
60 kg
2
68 kgGrivko
4
70 kgJaniaczyk
6
68 kgLoubet
9
66 kgColli
15
73 kgRiccò
20
57 kgErmeti
23
60 kg
Weight (KG) →
Result →
73
57
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRONI Alessandro | 68 |
| 4 | GRIVKO Andrey | 70 |
| 6 | JANIACZYK Błażej | 68 |
| 9 | LOUBET Julien | 66 |
| 15 | COLLI Daniele | 73 |
| 20 | RICCÒ Riccardo | 57 |
| 23 | ERMETI Giairo | 60 |