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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Harrison
1
73 kgSaéz
5
74 kgDíaz
5
72 kgMomeñe
5
61 kgLasa
6
68 kgLasa
6
77 kgPijnen
7
72 kgAja
8
66 kg
1
73 kgSaéz
5
74 kgDíaz
5
72 kgMomeñe
5
61 kgLasa
6
68 kgLasa
6
77 kgPijnen
7
72 kgAja
8
66 kg
Weight (KG) →
Result →
77
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARRISON Derek | 73 |
| 5 | SAÉZ Ramón | 74 |
| 5 | DÍAZ Ventura | 72 |
| 5 | MOMEÑE José Antonio | 61 |
| 6 | LASA Miguel María | 68 |
| 6 | LASA José Manuel | 77 |
| 7 | PIJNEN René | 72 |
| 8 | AJA Gonzalo | 66 |