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 = 0.9 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Cogan
8
68 kgOckers
11
61 kgImpanis
12
69 kgGoasmat
24
60 kgBobet
39
74 kg
8
68 kgOckers
11
61 kgImpanis
12
69 kgGoasmat
24
60 kgBobet
39
74 kg
Weight (KG) →
Result →
74
60
8
39
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | COGAN Pierre | 68 |
| 11 | OCKERS Stan | 61 |
| 12 | IMPANIS Raymond | 69 |
| 24 | GOASMAT Jean-Marie | 60 |
| 39 | BOBET Louison | 74 |