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 = -1.2 * weight + 125
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Balmamion
1
67 kgMealli
17
73 kgBailetti
42
70 kgBariviera
46
72 kgTonucci
86
68 kg
1
67 kgMealli
17
73 kgBailetti
42
70 kgBariviera
46
72 kgTonucci
86
68 kg
Weight (KG) →
Result →
73
67
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALMAMION Franco | 67 |
| 17 | MEALLI Bruno | 73 |
| 42 | BAILETTI Antonio | 70 |
| 46 | BARIVIERA Vendramino | 72 |
| 86 | TONUCCI Giuseppe | 68 |