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 = 1.8 * weight - 111
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Moerenhout
5
72 kgVlaemynck
7
63 kgLowie
11
68 kgDe Caluwé
19
75 kgPirmez
34
76 kgMeulenberg
37
73 kg
5
72 kgVlaemynck
7
63 kgLowie
11
68 kgDe Caluwé
19
75 kgPirmez
34
76 kgMeulenberg
37
73 kg
Weight (KG) →
Result →
76
63
5
37
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MOERENHOUT Jef | 72 |
| 7 | VLAEMYNCK Lucien | 63 |
| 11 | LOWIE Jules | 68 |
| 19 | DE CALUWÉ Edgard | 75 |
| 34 | PIRMEZ Théo | 76 |
| 37 | MEULENBERG Eloi | 73 |