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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Honig
1
61 kgGiling
3
72 kgHeijboer
7
78 kgMol
9
83 kgde Kort
11
69 kgGoesinnen
14
75 kgScheuneman
18
75 kg
1
61 kgGiling
3
72 kgHeijboer
7
78 kgMol
9
83 kgde Kort
11
69 kgGoesinnen
14
75 kgScheuneman
18
75 kg
Weight (KG) →
Result →
83
61
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONIG Reinier | 61 |
| 3 | GILING Bas | 72 |
| 7 | HEIJBOER Mathieu | 78 |
| 9 | MOL Wouter | 83 |
| 11 | DE KORT Koen | 69 |
| 14 | GOESINNEN Floris | 75 |
| 18 | SCHEUNEMAN Niels | 75 |