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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Merckx
1
74 kgPoulidor
9
71 kgAnquetil
11
70 kgSimpson
13
69 kgJanssen
14
76 kgGimondi
15
78 kg
1
74 kgPoulidor
9
71 kgAnquetil
11
70 kgSimpson
13
69 kgJanssen
14
76 kgGimondi
15
78 kg
Weight (KG) →
Result →
78
69
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 9 | POULIDOR Raymond | 71 |
| 11 | ANQUETIL Jacques | 70 |
| 13 | SIMPSON Tom | 69 |
| 14 | JANSSEN Jan | 76 |
| 15 | GIMONDI Felice | 78 |