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 = -1.2 * weight + 103
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Poulidor
3
71 kgAnquetil
12
70 kgVanden Berghen
14
76 kgRostollan
21
68 kgForestier
23
70 kgHamon
29
61 kg
3
71 kgAnquetil
12
70 kgVanden Berghen
14
76 kgRostollan
21
68 kgForestier
23
70 kgHamon
29
61 kg
Weight (KG) →
Result →
76
61
3
29
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | POULIDOR Raymond | 71 |
| 12 | ANQUETIL Jacques | 70 |
| 14 | VANDEN BERGHEN Willy | 76 |
| 21 | ROSTOLLAN Louis | 68 |
| 23 | FORESTIER Jean | 70 |
| 29 | HAMON François | 61 |