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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Moser
2
79 kgGavazzi
5
67 kgMartinelli
7
74 kgWampers
9
82 kgAlgeri
12
68 kgAlgeri
13
69 kgMinetti
16
69 kg
2
79 kgGavazzi
5
67 kgMartinelli
7
74 kgWampers
9
82 kgAlgeri
12
68 kgAlgeri
13
69 kgMinetti
16
69 kg
Weight (KG) →
Result →
82
67
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 5 | GAVAZZI Pierino | 67 |
| 7 | MARTINELLI Giuseppe | 74 |
| 9 | WAMPERS Jean-Marie | 82 |
| 12 | ALGERI Vittorio | 68 |
| 13 | ALGERI Pietro | 69 |
| 16 | MINETTI Alberto | 69 |