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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jackowiak
1
65 kgConsolidani
2
59 kgDoghetti
13
55 kgMellano
15
65 kgÁlvarez
18
74 kgRemelli
31
61 kgZanutta
33
57 kg
1
65 kgConsolidani
2
59 kgDoghetti
13
55 kgMellano
15
65 kgÁlvarez
18
74 kgRemelli
31
61 kgZanutta
33
57 kg
Weight (KG) →
Result →
74
55
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKOWIAK Jan Michal | 65 |
| 2 | CONSOLIDANI Leonardo | 59 |
| 13 | DOGHETTI Thomas | 55 |
| 15 | MELLANO Ludovico Maria | 65 |
| 18 | ÁLVAREZ Héctor | 74 |
| 31 | REMELLI Cristian | 61 |
| 33 | ZANUTTA David | 57 |