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 = 44.5 * weight - 2836
This means that on average for every extra kilogram weight a rider loses 44.5 positions in the result.
Van Impe
1
59 kgHinault
2
62 kgPoulidor
3
71 kgZoetemelk
7
68 kgBourreau
11
63 kgTschan
16
68 kgRosiers
990
78 kg
1
59 kgHinault
2
62 kgPoulidor
3
71 kgZoetemelk
7
68 kgBourreau
11
63 kgTschan
16
68 kgRosiers
990
78 kg
Weight (KG) →
Result →
78
59
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN IMPE Lucien | 59 |
| 2 | HINAULT Bernard | 62 |
| 3 | POULIDOR Raymond | 71 |
| 7 | ZOETEMELK Joop | 68 |
| 11 | BOURREAU Bernard | 63 |
| 16 | TSCHAN Jürgen | 68 |
| 990 | ROSIERS Roger | 78 |