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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pietropolli
2
61 kgMugerli
4
68 kgPozzovivo
5
53 kgSella
6
54 kgBates
9
61 kgCorioni
10
67 kg
2
61 kgMugerli
4
68 kgPozzovivo
5
53 kgSella
6
54 kgBates
9
61 kgCorioni
10
67 kg
Weight (KG) →
Result →
68
53
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIETROPOLLI Daniele | 61 |
| 4 | MUGERLI Matej | 68 |
| 5 | POZZOVIVO Domenico | 53 |
| 6 | SELLA Emanuele | 54 |
| 9 | BATES Gene | 61 |
| 10 | CORIONI Claudio | 67 |