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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Puppio
3
75 kgBaroncini
4
74 kgZambanini
5
62 kgCañaveral
7
60 kgBusatto
9
62 kg
3
75 kgBaroncini
4
74 kgZambanini
5
62 kgCañaveral
7
60 kgBusatto
9
62 kg
Weight (KG) →
Result →
75
60
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PUPPIO Antonio | 75 |
| 4 | BARONCINI Filippo | 74 |
| 5 | ZAMBANINI Edoardo | 62 |
| 7 | CAÑAVERAL Johnatan | 60 |
| 9 | BUSATTO Francesco | 62 |