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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Ferrario
5
67 kgBrunero
8
66 kgGremo
10
74 kgFasoli
11
70 kgRuffoni
12
74 kgPratesi
13
74 kgLucotti
38
67 kg
5
67 kgBrunero
8
66 kgGremo
10
74 kgFasoli
11
70 kgRuffoni
12
74 kgPratesi
13
74 kgLucotti
38
67 kg
Weight (KG) →
Result →
74
66
5
38
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | FERRARIO Arturo | 67 |
| 8 | BRUNERO Giovanni | 66 |
| 10 | GREMO Angelo | 74 |
| 11 | FASOLI Pietro | 70 |
| 12 | RUFFONI Giuseppe | 74 |
| 13 | PRATESI Ottavio | 74 |
| 38 | LUCOTTI Luigi Natale | 67 |