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 = -0.7 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Masson jr
1
78 kgBraeckeveldt
2
64 kgWalschot
18
68 kgMuller
21
74 kgDecroix
26
68 kgWauters
32
72 kgPedroli
42
67 kg
1
78 kgBraeckeveldt
2
64 kgWalschot
18
68 kgMuller
21
74 kgDecroix
26
68 kgWauters
32
72 kgPedroli
42
67 kg
Weight (KG) →
Result →
78
64
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASSON JR Émile | 78 |
| 2 | BRAECKEVELDT Adolphe | 64 |
| 18 | WALSCHOT René | 68 |
| 21 | MULLER Hubert | 74 |
| 26 | DECROIX Emile | 68 |
| 32 | WAUTERS Jean | 72 |
| 42 | PEDROLI René | 67 |