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 - 91
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Van Impe
2
59 kgHinault
3
62 kgPoulidor
4
71 kgZoetemelk
9
68 kgBourreau
12
63 kgTschan
25
68 kgRosiers
37
78 kg
2
59 kgHinault
3
62 kgPoulidor
4
71 kgZoetemelk
9
68 kgBourreau
12
63 kgTschan
25
68 kgRosiers
37
78 kg
Weight (KG) →
Result →
78
59
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Lucien | 59 |
| 3 | HINAULT Bernard | 62 |
| 4 | POULIDOR Raymond | 71 |
| 9 | ZOETEMELK Joop | 68 |
| 12 | BOURREAU Bernard | 63 |
| 25 | TSCHAN Jürgen | 68 |
| 37 | ROSIERS Roger | 78 |