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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Giacobbe
1
74 kgCamusso
2
66 kgMara
5
68 kgPesenti
6
60 kgMorelli
9
78 kg
1
74 kgCamusso
2
66 kgMara
5
68 kgPesenti
6
60 kgMorelli
9
78 kg
Weight (KG) →
Result →
78
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIACOBBE Luigi | 74 |
| 2 | CAMUSSO Francesco | 66 |
| 5 | MARA Michele | 68 |
| 6 | PESENTI Antonio | 60 |
| 9 | MORELLI Ambrogio Enrico | 78 |