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 = 0.8 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Pollentier
2
62 kgSercu
4
76 kgMerckx
18
74 kgGilson
21
70 kgGimondi
30
78 kgKuiper
31
69 kg
2
62 kgSercu
4
76 kgMerckx
18
74 kgGilson
21
70 kgGimondi
30
78 kgKuiper
31
69 kg
Weight (KG) →
Result →
78
62
2
31
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POLLENTIER Michel | 62 |
| 4 | SERCU Patrick | 76 |
| 18 | MERCKX Eddy | 74 |
| 21 | GILSON Roger | 70 |
| 30 | GIMONDI Felice | 78 |
| 31 | KUIPER Hennie | 69 |