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 - 86
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Gimondi
1
78 kgBalmamion
2
67 kgAnquetil
3
70 kgMerckx
9
74 kgBracke
39
79 kgMealli
44
73 kgAndreoli
64
73 kg
1
78 kgBalmamion
2
67 kgAnquetil
3
70 kgMerckx
9
74 kgBracke
39
79 kgMealli
44
73 kgAndreoli
64
73 kg
Weight (KG) →
Result →
79
67
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 2 | BALMAMION Franco | 67 |
| 3 | ANQUETIL Jacques | 70 |
| 9 | MERCKX Eddy | 74 |
| 39 | BRACKE Ferdinand | 79 |
| 44 | MEALLI Bruno | 73 |
| 64 | ANDREOLI Severino | 73 |