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 - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Moerenhout
1
72 kgBraeckeveldt
2
64 kgWauters
13
72 kgGarnier
14
74 kgNeuville
19
80 kgLowie
21
68 kg
1
72 kgBraeckeveldt
2
64 kgWauters
13
72 kgGarnier
14
74 kgNeuville
19
80 kgLowie
21
68 kg
Weight (KG) →
Result →
80
64
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOERENHOUT Jef | 72 |
| 2 | BRAECKEVELDT Adolphe | 64 |
| 13 | WAUTERS Jean | 72 |
| 14 | GARNIER Henri | 74 |
| 19 | NEUVILLE François | 80 |
| 21 | LOWIE Jules | 68 |