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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Maertens
3
65 kgDemeyer
5
85 kgPollentier
6
62 kgDe Brauwere
14
63 kgHermans
17
71 kgSchuiten
19
83 kgBracke
26
79 kg
3
65 kgDemeyer
5
85 kgPollentier
6
62 kgDe Brauwere
14
63 kgHermans
17
71 kgSchuiten
19
83 kgBracke
26
79 kg
Weight (KG) →
Result →
85
62
3
26
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MAERTENS Freddy | 65 |
| 5 | DEMEYER Marc | 85 |
| 6 | POLLENTIER Michel | 62 |
| 14 | DE BRAUWERE Lucien | 63 |
| 17 | HERMANS Gustaaf | 71 |
| 19 | SCHUITEN Roy | 83 |
| 26 | BRACKE Ferdinand | 79 |