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 + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
De Vlaeminck
2
74 kgMerckx
3
74 kgSutter
10
70 kgGimondi
12
78 kgKnudsen
26
79 kgBourreau
30
63 kg
2
74 kgMerckx
3
74 kgSutter
10
70 kgGimondi
12
78 kgKnudsen
26
79 kgBourreau
30
63 kg
Weight (KG) →
Result →
79
63
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE VLAEMINCK Roger | 74 |
| 3 | MERCKX Eddy | 74 |
| 10 | SUTTER Ueli | 70 |
| 12 | GIMONDI Felice | 78 |
| 26 | KNUDSEN Knut | 79 |
| 30 | BOURREAU Bernard | 63 |