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 = -0.6 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Vigna
1
67 kgBailetti
2
70 kgBariviera
11
72 kgMealli
19
73 kgBalmamion
36
67 kg
1
67 kgBailetti
2
70 kgBariviera
11
72 kgMealli
19
73 kgBalmamion
36
67 kg
Weight (KG) →
Result →
73
67
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIGNA Marino | 67 |
| 2 | BAILETTI Antonio | 70 |
| 11 | BARIVIERA Vendramino | 72 |
| 19 | MEALLI Bruno | 73 |
| 36 | BALMAMION Franco | 67 |