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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Saronni
1
65 kgEdwards
2
80 kgDe Vlaeminck
7
74 kgMoser
9
79 kgGavazzi
11
67 kgGimondi
12
78 kg
1
65 kgEdwards
2
80 kgDe Vlaeminck
7
74 kgMoser
9
79 kgGavazzi
11
67 kgGimondi
12
78 kg
Weight (KG) →
Result →
80
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | EDWARDS Phil | 80 |
| 7 | DE VLAEMINCK Roger | 74 |
| 9 | MOSER Francesco | 79 |
| 11 | GAVAZZI Pierino | 67 |
| 12 | GIMONDI Felice | 78 |