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 - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Moser
4
79 kgGimondi
5
78 kgVandi
8
64 kgRiccomi
10
66 kgBaronchelli
18
72 kgMerckx
23
74 kgVan Looy
53
75 kg
4
79 kgGimondi
5
78 kgVandi
8
64 kgRiccomi
10
66 kgBaronchelli
18
72 kgMerckx
23
74 kgVan Looy
53
75 kg
Weight (KG) →
Result →
79
64
4
53
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MOSER Francesco | 79 |
| 5 | GIMONDI Felice | 78 |
| 8 | VANDI Alfio | 64 |
| 10 | RICCOMI Walter | 66 |
| 18 | BARONCHELLI Gianbattista | 72 |
| 23 | MERCKX Eddy | 74 |
| 53 | VAN LOOY Frans | 75 |