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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gimondi
1
78 kgMerckx
2
74 kgBaronchelli
3
72 kgMoser
4
79 kgVandi
8
64 kgRiccomi
12
66 kgVan Looy
55
75 kg
1
78 kgMerckx
2
74 kgBaronchelli
3
72 kgMoser
4
79 kgVandi
8
64 kgRiccomi
12
66 kgVan Looy
55
75 kg
Weight (KG) →
Result →
79
64
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 2 | MERCKX Eddy | 74 |
| 3 | BARONCHELLI Gianbattista | 72 |
| 4 | MOSER Francesco | 79 |
| 8 | VANDI Alfio | 64 |
| 12 | RICCOMI Walter | 66 |
| 55 | VAN LOOY Frans | 75 |