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 = 0.8 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Delgado
5
64 kgSergeant
24
76 kgHoste
38
76 kgVilamajo
43
70 kgGlaus
44
67 kgde Rooij
49
69 kg
5
64 kgSergeant
24
76 kgHoste
38
76 kgVilamajo
43
70 kgGlaus
44
67 kgde Rooij
49
69 kg
Weight (KG) →
Result →
76
64
5
49
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DELGADO Pedro | 64 |
| 24 | SERGEANT Marc | 76 |
| 38 | HOSTE Frank | 76 |
| 43 | VILAMAJO Jaime | 70 |
| 44 | GLAUS Gilbert | 67 |
| 49 | DE ROOIJ Theo | 69 |