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 = 0.4 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Moerenhout
8
72 kgLowie
13
68 kgVlaemynck
15
63 kgDe Caluwé
16
75 kgPirmez
21
76 kgMeulenberg
23
73 kg
8
72 kgLowie
13
68 kgVlaemynck
15
63 kgDe Caluwé
16
75 kgPirmez
21
76 kgMeulenberg
23
73 kg
Weight (KG) →
Result →
76
63
8
23
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | MOERENHOUT Jef | 72 |
| 13 | LOWIE Jules | 68 |
| 15 | VLAEMYNCK Lucien | 63 |
| 16 | DE CALUWÉ Edgard | 75 |
| 21 | PIRMEZ Théo | 76 |
| 23 | MEULENBERG Eloi | 73 |