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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Maes
9
70 kgOckers
11
61 kgImpanis
12
69 kgMasson jr
14
78 kgPirmez
17
76 kgLowie
19
68 kg
9
70 kgOckers
11
61 kgImpanis
12
69 kgMasson jr
14
78 kgPirmez
17
76 kgLowie
19
68 kg
Weight (KG) →
Result →
78
61
9
19
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | MAES Sylvère | 70 |
| 11 | OCKERS Stan | 61 |
| 12 | IMPANIS Raymond | 69 |
| 14 | MASSON JR Émile | 78 |
| 17 | PIRMEZ Théo | 76 |
| 19 | LOWIE Jules | 68 |