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 = -0.4 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Gimondi
1
78 kgJanssen
6
76 kgDíaz
15
72 kgMomeñe
17
61 kgPeffgen
22
67 kgSchleck
26
72 kgLasa
27
77 kgSaéz
32
74 kg
1
78 kgJanssen
6
76 kgDíaz
15
72 kgMomeñe
17
61 kgPeffgen
22
67 kgSchleck
26
72 kgLasa
27
77 kgSaéz
32
74 kg
Weight (KG) →
Result →
78
61
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 6 | JANSSEN Jan | 76 |
| 15 | DÍAZ Ventura | 72 |
| 17 | MOMEÑE José Antonio | 61 |
| 22 | PEFFGEN Wilfried | 67 |
| 26 | SCHLECK Johny | 72 |
| 27 | LASA José Manuel | 77 |
| 32 | SAÉZ Ramón | 74 |