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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ronsse
1
77 kgVan Bruaene
2
70 kgDossche
5
75 kgVerdyck
6
78 kgVan Bruaene
10
77 kgWauters
11
72 kg
1
77 kgVan Bruaene
2
70 kgDossche
5
75 kgVerdyck
6
78 kgVan Bruaene
10
77 kgWauters
11
72 kg
Weight (KG) →
Result →
78
70
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RONSSE Georges | 77 |
| 2 | VAN BRUAENE Armand | 70 |
| 5 | DOSSCHE Aimé | 75 |
| 6 | VERDYCK August | 78 |
| 10 | VAN BRUAENE Adolf | 77 |
| 11 | WAUTERS Jean | 72 |