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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Merckx
2
74 kgSaéz
4
74 kgSwerts
6
75 kgMarine
8
69 kgMomeñe
9
61 kgGimondi
10
78 kgMealli
11
73 kgSchleck
22
72 kg
2
74 kgSaéz
4
74 kgSwerts
6
75 kgMarine
8
69 kgMomeñe
9
61 kgGimondi
10
78 kgMealli
11
73 kgSchleck
22
72 kg
Weight (KG) →
Result →
78
61
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MERCKX Eddy | 74 |
| 4 | SAÉZ Ramón | 74 |
| 6 | SWERTS Roger | 75 |
| 8 | MARINE Jorge | 69 |
| 9 | MOMEÑE José Antonio | 61 |
| 10 | GIMONDI Felice | 78 |
| 11 | MEALLI Bruno | 73 |
| 22 | SCHLECK Johny | 72 |