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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Deloor
3
72 kgRomanatti
4
75 kgDignef
5
70 kgCañardo
8
77 kgÁlvarez
9
61 kgGimeno
11
73 kgCardona
20
68 kg
3
72 kgRomanatti
4
75 kgDignef
5
70 kgCañardo
8
77 kgÁlvarez
9
61 kgGimeno
11
73 kgCardona
20
68 kg
Weight (KG) →
Result →
77
61
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DELOOR Alfons | 72 |
| 4 | ROMANATTI Carlo | 75 |
| 5 | DIGNEF Antoon | 70 |
| 8 | CAÑARDO Mariano | 77 |
| 9 | ÁLVAREZ Emiliano | 61 |
| 11 | GIMENO Juan | 73 |
| 20 | CARDONA Salvador | 68 |