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 + 39
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Swerts
1
75 kgMerckx
5
74 kgGimondi
7
78 kgSaéz
8
74 kgMomeñe
10
61 kgMarine
14
69 kgMealli
17
73 kgSchleck
50
72 kg
1
75 kgMerckx
5
74 kgGimondi
7
78 kgSaéz
8
74 kgMomeñe
10
61 kgMarine
14
69 kgMealli
17
73 kgSchleck
50
72 kg
Weight (KG) →
Result →
78
61
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWERTS Roger | 75 |
| 5 | MERCKX Eddy | 74 |
| 7 | GIMONDI Felice | 78 |
| 8 | SAÉZ Ramón | 74 |
| 10 | MOMEÑE José Antonio | 61 |
| 14 | MARINE Jorge | 69 |
| 17 | MEALLI Bruno | 73 |
| 50 | SCHLECK Johny | 72 |