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 - 5
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
7
76 kgVanderaerden
11
74 kgSciandri
13
75 kgDe Clercq
14
66 kg
2
68 kgSkibby
3
70 kgElliott
7
76 kgVanderaerden
11
74 kgSciandri
13
75 kgDe Clercq
14
66 kg
Weight (KG) →
Result →
76
66
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAURI Melchor | 68 |
| 3 | SKIBBY Jesper | 70 |
| 7 | ELLIOTT Malcolm | 76 |
| 11 | VANDERAERDEN Eric | 74 |
| 13 | SCIANDRI Maximilian | 75 |
| 14 | DE CLERCQ Mario | 66 |