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 = -1.3 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Ockers
2
61 kgBobet
3
74 kgCogan
7
68 kgImpanis
8
69 kgGoasmat
35
60 kg
2
61 kgBobet
3
74 kgCogan
7
68 kgImpanis
8
69 kgGoasmat
35
60 kg
Weight (KG) →
Result →
74
60
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OCKERS Stan | 61 |
| 3 | BOBET Louison | 74 |
| 7 | COGAN Pierre | 68 |
| 8 | IMPANIS Raymond | 69 |
| 35 | GOASMAT Jean-Marie | 60 |