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 = -0.7 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Bandiera
1
68 kgde Bonis
2
66 kgLloyd
5
62 kgBisolti
6
58 kgStortoni
9
59 kg
1
68 kgde Bonis
2
66 kgLloyd
5
62 kgBisolti
6
58 kgStortoni
9
59 kg
Weight (KG) →
Result →
68
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BANDIERA Marco | 68 |
| 2 | DE BONIS Francesco | 66 |
| 5 | LLOYD Matthew | 62 |
| 6 | BISOLTI Alessandro | 58 |
| 9 | STORTONI Simone | 59 |