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.
Pollentier
1
62 kgKuiper
2
69 kgSchuiten
4
83 kgBracke
6
79 kgMaertens
7
65 kg
1
62 kgKuiper
2
69 kgSchuiten
4
83 kgBracke
6
79 kgMaertens
7
65 kg
Weight (KG) →
Result →
83
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 2 | KUIPER Hennie | 69 |
| 4 | SCHUITEN Roy | 83 |
| 6 | BRACKE Ferdinand | 79 |
| 7 | MAERTENS Freddy | 65 |