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 = 0.5 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jungels
1
70 kgDrucker
2
75 kgKirsch
3
78 kgGeniets
5
73 kgThill
8
73 kgPetelin
10
67 kgFlammang
20
80 kg
1
70 kgDrucker
2
75 kgKirsch
3
78 kgGeniets
5
73 kgThill
8
73 kgPetelin
10
67 kgFlammang
20
80 kg
Weight (KG) →
Result →
80
67
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUNGELS Bob | 70 |
| 2 | DRUCKER Jempy | 75 |
| 3 | KIRSCH Alex | 78 |
| 5 | GENIETS Kevin | 73 |
| 8 | THILL Tom | 73 |
| 10 | PETELIN Jan | 67 |
| 20 | FLAMMANG Tom | 80 |