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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Moser
1
79 kgBaronchelli
3
72 kgRiccomi
6
66 kgVandi
12
64 kgGavazzi
13
67 kgGimondi
14
78 kg
1
79 kgBaronchelli
3
72 kgRiccomi
6
66 kgVandi
12
64 kgGavazzi
13
67 kgGimondi
14
78 kg
Weight (KG) →
Result →
79
64
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 3 | BARONCHELLI Gianbattista | 72 |
| 6 | RICCOMI Walter | 66 |
| 12 | VANDI Alfio | 64 |
| 13 | GAVAZZI Pierino | 67 |
| 14 | GIMONDI Felice | 78 |