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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Knudsen
1
79 kgMoser
2
79 kgSchuiten
3
83 kgSaronni
4
65 kgPollentier
5
62 kg
1
79 kgMoser
2
79 kgSchuiten
3
83 kgSaronni
4
65 kgPollentier
5
62 kg
Weight (KG) →
Result →
83
62
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 2 | MOSER Francesco | 79 |
| 3 | SCHUITEN Roy | 83 |
| 4 | SARONNI Giuseppe | 65 |
| 5 | POLLENTIER Michel | 62 |