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 = -0.5 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Gimondi
5
78 kgMarine
14
69 kgSchleck
23
72 kgMerckx
26
74 kgSwerts
28
75 kgMomeñe
31
61 kgSaéz
37
74 kgMealli
54
73 kg
5
78 kgMarine
14
69 kgSchleck
23
72 kgMerckx
26
74 kgSwerts
28
75 kgMomeñe
31
61 kgSaéz
37
74 kgMealli
54
73 kg
Weight (KG) →
Result →
78
61
5
54
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GIMONDI Felice | 78 |
| 14 | MARINE Jorge | 69 |
| 23 | SCHLECK Johny | 72 |
| 26 | MERCKX Eddy | 74 |
| 28 | SWERTS Roger | 75 |
| 31 | MOMEÑE José Antonio | 61 |
| 37 | SAÉZ Ramón | 74 |
| 54 | MEALLI Bruno | 73 |