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 + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Merckx
1
74 kgSimpson
2
69 kgPoulidor
8
71 kgPfenninger
9
70 kgAnquetil
14
70 kgVan Springel
15
72 kg
1
74 kgSimpson
2
69 kgPoulidor
8
71 kgPfenninger
9
70 kgAnquetil
14
70 kgVan Springel
15
72 kg
Weight (KG) →
Result →
74
69
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | SIMPSON Tom | 69 |
| 8 | POULIDOR Raymond | 71 |
| 9 | PFENNINGER Louis | 70 |
| 14 | ANQUETIL Jacques | 70 |
| 15 | VAN SPRINGEL Herman | 72 |