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 = -2.3 * weight + 171
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Forestier
1
70 kgGraczyk
2
70 kgPoulidor
10
71 kgAnquetil
12
70 kgRostollan
17
68 kgDuez
21
64 kg
1
70 kgGraczyk
2
70 kgPoulidor
10
71 kgAnquetil
12
70 kgRostollan
17
68 kgDuez
21
64 kg
Weight (KG) →
Result →
71
64
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORESTIER Jean | 70 |
| 2 | GRACZYK Jean | 70 |
| 10 | POULIDOR Raymond | 71 |
| 12 | ANQUETIL Jacques | 70 |
| 17 | ROSTOLLAN Louis | 68 |
| 21 | DUEZ Henri | 64 |