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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Swerts
2
75 kgMomeñe
5
61 kgSaéz
9
74 kgGimondi
10
78 kgMerckx
12
74 kgMarine
18
69 kgMealli
26
73 kgSchleck
28
72 kg
2
75 kgMomeñe
5
61 kgSaéz
9
74 kgGimondi
10
78 kgMerckx
12
74 kgMarine
18
69 kgMealli
26
73 kgSchleck
28
72 kg
Weight (KG) →
Result →
78
61
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SWERTS Roger | 75 |
| 5 | MOMEÑE José Antonio | 61 |
| 9 | SAÉZ Ramón | 74 |
| 10 | GIMONDI Felice | 78 |
| 12 | MERCKX Eddy | 74 |
| 18 | MARINE Jorge | 69 |
| 26 | MEALLI Bruno | 73 |
| 28 | SCHLECK Johny | 72 |