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 = -0.9 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Jackowiak
3
65 kgMellano
4
65 kgÁlvarez
5
74 kgConsolidani
9
59 kgDoghetti
14
55 kgRemelli
22
61 kgZanutta
24
57 kg
3
65 kgMellano
4
65 kgÁlvarez
5
74 kgConsolidani
9
59 kgDoghetti
14
55 kgRemelli
22
61 kgZanutta
24
57 kg
Weight (KG) →
Result →
74
55
3
24
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JACKOWIAK Jan Michal | 65 |
| 4 | MELLANO Ludovico Maria | 65 |
| 5 | ÁLVAREZ Héctor | 74 |
| 9 | CONSOLIDANI Leonardo | 59 |
| 14 | DOGHETTI Thomas | 55 |
| 22 | REMELLI Cristian | 61 |
| 24 | ZANUTTA David | 57 |