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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Keizer
1
72 kgGallopin
5
69 kgSteensen
6
65 kgBär
7
66 kgGastauer
10
73 kg
1
72 kgGallopin
5
69 kgSteensen
6
65 kgBär
7
66 kgGastauer
10
73 kg
Weight (KG) →
Result →
73
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KEIZER Martijn | 72 |
| 5 | GALLOPIN Tony | 69 |
| 6 | STEENSEN André | 65 |
| 7 | BÄR Michael | 66 |
| 10 | GASTAUER Ben | 73 |