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.
Palini
2
67 kgDelle Stelle
3
65 kgRatto
4
74 kgFelline
5
68 kgAgostini
6
62 kg
2
67 kgDelle Stelle
3
65 kgRatto
4
74 kgFelline
5
68 kgAgostini
6
62 kg
Weight (KG) →
Result →
74
62
2
6
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PALINI Andrea | 67 |
| 3 | DELLE STELLE Christian | 65 |
| 4 | RATTO Daniele | 74 |
| 5 | FELLINE Fabio | 68 |
| 6 | AGOSTINI Stefano | 62 |