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 = 1.1 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Balmamion
6
67 kgBariviera
11
72 kgVigna
18
67 kgMealli
22
73 kgBailetti
40
70 kg
6
67 kgBariviera
11
72 kgVigna
18
67 kgMealli
22
73 kgBailetti
40
70 kg
Weight (KG) →
Result →
73
67
6
40
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BALMAMION Franco | 67 |
| 11 | BARIVIERA Vendramino | 72 |
| 18 | VIGNA Marino | 67 |
| 22 | MEALLI Bruno | 73 |
| 40 | BAILETTI Antonio | 70 |