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 = 12.3 * weight - 720
This means that on average for every extra kilogram weight a rider loses 12.3 positions in the result.
Krekels
1
73 kgSteevens
1
73 kgJansen
2
70 kgBramucci
4
70 kgRitter
4
74 kgVan Looy
5
73 kgPijnen
5
72 kgDolman
5
71 kgDierickx
6
74 kgZoetemelk
6
68 kgMonseré
6
66 kgJanssen
7
76 kgMortensen
7
70 kgVasseur
7
67 kgRosiers
7
78 kgPettersson
8
75 kgSwerts
9
75 kgMerckx
9
74 kgMourioux
10
71 kgPoulidor
10
71 kgBracke
990
79 kgKarstens
990
74 kgPeffgen
990
67 kgSchutz
990
72 kg
1
73 kgSteevens
1
73 kgJansen
2
70 kgBramucci
4
70 kgRitter
4
74 kgVan Looy
5
73 kgPijnen
5
72 kgDolman
5
71 kgDierickx
6
74 kgZoetemelk
6
68 kgMonseré
6
66 kgJanssen
7
76 kgMortensen
7
70 kgVasseur
7
67 kgRosiers
7
78 kgPettersson
8
75 kgSwerts
9
75 kgMerckx
9
74 kgMourioux
10
71 kgPoulidor
10
71 kgBracke
990
79 kgKarstens
990
74 kgPeffgen
990
67 kgSchutz
990
72 kg
Weight (KG) →
Result →
79
66
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | KREKELS Jan | 73 |
1 | STEEVENS Harry | 73 |
2 | JANSEN Harrie | 70 |
4 | BRAMUCCI Giovanni | 70 |
4 | RITTER Ole | 74 |
5 | VAN LOOY Rik | 73 |
5 | PIJNEN René | 72 |
5 | DOLMAN Evert | 71 |
6 | DIERICKX André | 74 |
6 | ZOETEMELK Joop | 68 |
6 | MONSERÉ Jean-Pierre | 66 |
7 | JANSSEN Jan | 76 |
7 | MORTENSEN Leif | 70 |
7 | VASSEUR Alain | 67 |
7 | ROSIERS Roger | 78 |
8 | PETTERSSON Sture | 75 |
9 | SWERTS Roger | 75 |
9 | MERCKX Eddy | 74 |
10 | MOURIOUX Jacques | 71 |
10 | POULIDOR Raymond | 71 |
990 | BRACKE Ferdinand | 79 |
990 | KARSTENS Gerben | 74 |
990 | PEFFGEN Wilfried | 67 |
990 | SCHUTZ Edy | 72 |