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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Silvestre
3
78 kgBarbero
4
66 kgCaldeira
5
76 kgSancho
6
73 kgPinto
7
58 kgMarque
12
68 kg
3
78 kgBarbero
4
66 kgCaldeira
5
76 kgSancho
6
73 kgPinto
7
58 kgMarque
12
68 kg
Weight (KG) →
Result →
78
58
3
12
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SILVESTRE Fábio | 78 |
| 4 | BARBERO Carlos | 66 |
| 5 | CALDEIRA Samuel José | 76 |
| 6 | SANCHO Bruno | 73 |
| 7 | PINTO Edgar | 58 |
| 12 | MARQUE Alejandro Manuel | 68 |