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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hayles
5
80 kgMagnusson
6
70 kgKnaven
7
68 kgMüller
9
79 kgBlijlevens
10
70 kg
5
80 kgMagnusson
6
70 kgKnaven
7
68 kgMüller
9
79 kgBlijlevens
10
70 kg
Weight (KG) →
Result →
80
68
5
10
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | HAYLES Robert | 80 |
| 6 | MAGNUSSON Glenn | 70 |
| 7 | KNAVEN Servais | 68 |
| 9 | MÜLLER Martin | 79 |
| 10 | BLIJLEVENS Jeroen | 70 |