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 = 1.4 * weight - 85
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Braeckeveldt
1
64 kgWalschot
2
68 kgDecroix
7
68 kgWauters
12
72 kgMuller
14
74 kgPedroli
23
67 kgMasson jr
27
78 kg
1
64 kgWalschot
2
68 kgDecroix
7
68 kgWauters
12
72 kgMuller
14
74 kgPedroli
23
67 kgMasson jr
27
78 kg
Weight (KG) →
Result →
78
64
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAECKEVELDT Adolphe | 64 |
| 2 | WALSCHOT René | 68 |
| 7 | DECROIX Emile | 68 |
| 12 | WAUTERS Jean | 72 |
| 14 | MULLER Hubert | 74 |
| 23 | PEDROLI René | 67 |
| 27 | MASSON JR Émile | 78 |