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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gastauer
2
73 kgKvist
3
68 kgJanse van Rensburg
5
63 kgRoux
6
73 kgSteensen
7
65 kg
2
73 kgKvist
3
68 kgJanse van Rensburg
5
63 kgRoux
6
73 kgSteensen
7
65 kg
Weight (KG) →
Result →
73
63
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GASTAUER Ben | 73 |
| 3 | KVIST Thomas Vedel | 68 |
| 5 | JANSE VAN RENSBURG Jacques | 63 |
| 6 | ROUX Anthony | 73 |
| 7 | STEENSEN André | 65 |