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 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Kemps
1
73 kgColli
2
73 kgVisconti
4
63 kgSabatini
5
74 kgPasseron
8
73 kg
1
73 kgColli
2
73 kgVisconti
4
63 kgSabatini
5
74 kgPasseron
8
73 kg
Weight (KG) →
Result →
74
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KEMPS Aaron | 73 |
| 2 | COLLI Daniele | 73 |
| 4 | VISCONTI Giovanni | 63 |
| 5 | SABATINI Fabio | 74 |
| 8 | PASSERON Aurélien | 73 |