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 = -4.1 * weight + 321
This means that on average for every extra kilogram weight a rider loses -4.1 positions in the result.
Mealli
7
73 kgBailetti
9
70 kgBariviera
19
72 kgVigna
27
67 kgTrapè
27
75 kgBalmamion
75
67 kg
7
73 kgBailetti
9
70 kgBariviera
19
72 kgVigna
27
67 kgTrapè
27
75 kgBalmamion
75
67 kg
Weight (KG) →
Result →
75
67
7
75
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MEALLI Bruno | 73 |
| 9 | BAILETTI Antonio | 70 |
| 19 | BARIVIERA Vendramino | 72 |
| 27 | VIGNA Marino | 67 |
| 27 | TRAPÈ Livio | 75 |
| 75 | BALMAMION Franco | 67 |