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 + 123
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Godefroot
1
73 kgLasa
5
77 kgMarine
7
69 kgSaéz
18
74 kgAnquetil
21
70 kgSchutz
26
72 kgPfenninger
27
70 kg
1
73 kgLasa
5
77 kgMarine
7
69 kgSaéz
18
74 kgAnquetil
21
70 kgSchutz
26
72 kgPfenninger
27
70 kg
Weight (KG) →
Result →
77
69
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 5 | LASA José Manuel | 77 |
| 7 | MARINE Jorge | 69 |
| 18 | SAÉZ Ramón | 74 |
| 21 | ANQUETIL Jacques | 70 |
| 26 | SCHUTZ Edy | 72 |
| 27 | PFENNINGER Louis | 70 |