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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Herrera
4
57 kgInduráin
5
76 kgMauri
12
68 kgUgrumov
19
58 kgBölts
20
73 kgSkibby
21
70 kgLlach
25
58 kg
4
57 kgInduráin
5
76 kgMauri
12
68 kgUgrumov
19
58 kgBölts
20
73 kgSkibby
21
70 kgLlach
25
58 kg
Weight (KG) →
Result →
76
57
4
25
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HERRERA Luis Alberto | 57 |
| 5 | INDURÁIN Miguel | 76 |
| 12 | MAURI Melchor | 68 |
| 19 | UGRUMOV Piotr | 58 |
| 20 | BÖLTS Udo | 73 |
| 21 | SKIBBY Jesper | 70 |
| 25 | LLACH Joaquin | 58 |