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 = -10.9 * weight + 1565
This means that on average for every extra kilogram weight a rider loses -10.9 positions in the result.
Steevens
5
73 kgVan Looy
6
73 kgRosiers
8
78 kgPijnen
9
72 kgPoulidor
990
71 kgMerckx
990
74 kgAnquetil
990
70 kgJanssen
990
76 kgGimondi
990
78 kgDaler
990
85 kgDolman
990
71 kgVasseur
990
67 kgBalmamion
990
67 kgDierickx
990
74 kgPfenninger
990
70 kgSwerts
990
75 kgGodefroot
990
73 kgAbrahamian
990
57 kg
5
73 kgVan Looy
6
73 kgRosiers
8
78 kgPijnen
9
72 kgPoulidor
990
71 kgMerckx
990
74 kgAnquetil
990
70 kgJanssen
990
76 kgGimondi
990
78 kgDaler
990
85 kgDolman
990
71 kgVasseur
990
67 kgBalmamion
990
67 kgDierickx
990
74 kgPfenninger
990
70 kgSwerts
990
75 kgGodefroot
990
73 kgAbrahamian
990
57 kg
Weight (KG) →
Result →
85
57
5
990
# | Rider | Weight (KG) |
---|---|---|
5 | STEEVENS Harry | 73 |
6 | VAN LOOY Rik | 73 |
8 | ROSIERS Roger | 78 |
9 | PIJNEN René | 72 |
990 | POULIDOR Raymond | 71 |
990 | MERCKX Eddy | 74 |
990 | ANQUETIL Jacques | 70 |
990 | JANSSEN Jan | 76 |
990 | GIMONDI Felice | 78 |
990 | DALER Jiří | 85 |
990 | DOLMAN Evert | 71 |
990 | VASSEUR Alain | 67 |
990 | BALMAMION Franco | 67 |
990 | DIERICKX André | 74 |
990 | PFENNINGER Louis | 70 |
990 | SWERTS Roger | 75 |
990 | GODEFROOT Walter | 73 |
990 | ABRAHAMIAN Stéphane | 57 |