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 = 12.7 * weight - 207
This means that on average for every extra kilogram weight a rider loses 12.7 positions in the result.
Vasseur
2
67 kgMerckx
5
74 kgAnquetil
8
70 kgPoulidor
9
71 kgVan Looy
10
73 kgJanssen
990
76 kgGimondi
990
78 kgPijnen
990
72 kgSteevens
990
73 kgDaler
990
85 kgRosiers
990
78 kgDolman
990
71 kgBalmamion
990
67 kgDierickx
990
74 kgPfenninger
990
70 kgSwerts
990
75 kgGodefroot
990
73 kgAbrahamian
990
57 kg
2
67 kgMerckx
5
74 kgAnquetil
8
70 kgPoulidor
9
71 kgVan Looy
10
73 kgJanssen
990
76 kgGimondi
990
78 kgPijnen
990
72 kgSteevens
990
73 kgDaler
990
85 kgRosiers
990
78 kgDolman
990
71 kgBalmamion
990
67 kgDierickx
990
74 kgPfenninger
990
70 kgSwerts
990
75 kgGodefroot
990
73 kgAbrahamian
990
57 kg
Weight (KG) →
Result →
85
57
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | VASSEUR Alain | 67 |
5 | MERCKX Eddy | 74 |
8 | ANQUETIL Jacques | 70 |
9 | POULIDOR Raymond | 71 |
10 | VAN LOOY Rik | 73 |
990 | JANSSEN Jan | 76 |
990 | GIMONDI Felice | 78 |
990 | PIJNEN René | 72 |
990 | STEEVENS Harry | 73 |
990 | DALER Jiří | 85 |
990 | ROSIERS Roger | 78 |
990 | DOLMAN Evert | 71 |
990 | BALMAMION Franco | 67 |
990 | DIERICKX André | 74 |
990 | PFENNINGER Louis | 70 |
990 | SWERTS Roger | 75 |
990 | GODEFROOT Walter | 73 |
990 | ABRAHAMIAN Stéphane | 57 |