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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mauri
2
68 kgSkibby
3
70 kgElliott
6
76 kgVanderaerden
10
74 kgInduráin
11
76 kgHerrera
15
57 kg
2
68 kgSkibby
3
70 kgElliott
6
76 kgVanderaerden
10
74 kgInduráin
11
76 kgHerrera
15
57 kg
Weight (KG) →
Result →
76
57
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAURI Melchor | 68 |
| 3 | SKIBBY Jesper | 70 |
| 6 | ELLIOTT Malcolm | 76 |
| 10 | VANDERAERDEN Eric | 74 |
| 11 | INDURÁIN Miguel | 76 |
| 15 | HERRERA Luis Alberto | 57 |