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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Schuiten
1
83 kgMoser
2
79 kgMaertens
3
65 kgKnudsen
5
79 kgBaronchelli
6
72 kgPollentier
8
62 kgRitter
9
74 kg
1
83 kgMoser
2
79 kgMaertens
3
65 kgKnudsen
5
79 kgBaronchelli
6
72 kgPollentier
8
62 kgRitter
9
74 kg
Weight (KG) →
Result →
83
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHUITEN Roy | 83 |
| 2 | MOSER Francesco | 79 |
| 3 | MAERTENS Freddy | 65 |
| 5 | KNUDSEN Knut | 79 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 8 | POLLENTIER Michel | 62 |
| 9 | RITTER Ole | 74 |