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 + 43
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Merckx
1
74 kgGimondi
2
78 kgMomeñe
13
61 kgSwerts
18
75 kgMarine
27
69 kgSaéz
30
74 kgSchleck
32
72 kgMealli
37
73 kg
1
74 kgGimondi
2
78 kgMomeñe
13
61 kgSwerts
18
75 kgMarine
27
69 kgSaéz
30
74 kgSchleck
32
72 kgMealli
37
73 kg
Weight (KG) →
Result →
78
61
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | GIMONDI Felice | 78 |
| 13 | MOMEÑE José Antonio | 61 |
| 18 | SWERTS Roger | 75 |
| 27 | MARINE Jorge | 69 |
| 30 | SAÉZ Ramón | 74 |
| 32 | SCHLECK Johny | 72 |
| 37 | MEALLI Bruno | 73 |