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 = 1.5 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Balmamion
8
67 kgGimondi
13
78 kgVigna
19
67 kgBariviera
28
72 kgBailetti
29
70 kgAndreoli
46
73 kgTrapè
55
75 kg
8
67 kgGimondi
13
78 kgVigna
19
67 kgBariviera
28
72 kgBailetti
29
70 kgAndreoli
46
73 kgTrapè
55
75 kg
Weight (KG) →
Result →
78
67
8
55
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BALMAMION Franco | 67 |
| 13 | GIMONDI Felice | 78 |
| 19 | VIGNA Marino | 67 |
| 28 | BARIVIERA Vendramino | 72 |
| 29 | BAILETTI Antonio | 70 |
| 46 | ANDREOLI Severino | 73 |
| 55 | TRAPÈ Livio | 75 |