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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Pesenti
1
60 kgGiacobbe
5
74 kgGrandi
6
69 kgCamusso
7
66 kgMorelli
10
78 kg
1
60 kgGiacobbe
5
74 kgGrandi
6
69 kgCamusso
7
66 kgMorelli
10
78 kg
Weight (KG) →
Result →
78
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PESENTI Antonio | 60 |
| 5 | GIACOBBE Luigi | 74 |
| 6 | GRANDI Allegro | 69 |
| 7 | CAMUSSO Francesco | 66 |
| 10 | MORELLI Ambrogio Enrico | 78 |