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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Simpson
2
69 kgAnquetil
3
70 kgMerckx
4
74 kgPoulidor
5
71 kgBracke
6
79 kgGimondi
7
78 kgPfenninger
9
70 kg
2
69 kgAnquetil
3
70 kgMerckx
4
74 kgPoulidor
5
71 kgBracke
6
79 kgGimondi
7
78 kgPfenninger
9
70 kg
Weight (KG) →
Result →
79
69
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SIMPSON Tom | 69 |
| 3 | ANQUETIL Jacques | 70 |
| 4 | MERCKX Eddy | 74 |
| 5 | POULIDOR Raymond | 71 |
| 6 | BRACKE Ferdinand | 79 |
| 7 | GIMONDI Felice | 78 |
| 9 | PFENNINGER Louis | 70 |