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 = 1.3 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Planckaert
2
69 kgFernández
6
68 kgPollentier
10
62 kgNilsson
16
63 kgVilamajo
21
70 kgSchuiten
38
83 kg
2
69 kgFernández
6
68 kgPollentier
10
62 kgNilsson
16
63 kgVilamajo
21
70 kgSchuiten
38
83 kg
Weight (KG) →
Result →
83
62
2
38
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PLANCKAERT Eddy | 69 |
| 6 | FERNÁNDEZ Juan | 68 |
| 10 | POLLENTIER Michel | 62 |
| 16 | NILSSON Sven-Åke | 63 |
| 21 | VILAMAJO Jaime | 70 |
| 38 | SCHUITEN Roy | 83 |