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 = -25.3 * weight + 2649
This means that on average for every extra kilogram weight a rider loses -25.3 positions in the result.
Janssen
1
76 kgMerckx
2
74 kgPoulidor
10
71 kgZoetemelk
990
68 kgKrekels
990
73 kgDierickx
990
74 kgBracke
990
79 kgSwerts
990
75 kgKarstens
990
74 kgSteevens
990
73 kgMortensen
990
70 kgDolman
990
71 kgVasseur
990
67 kgPeffgen
990
67 kgSchutz
990
72 kgJansen
990
70 kgPettersson
990
75 kgBramucci
990
70 kg
1
76 kgMerckx
2
74 kgPoulidor
10
71 kgZoetemelk
990
68 kgKrekels
990
73 kgDierickx
990
74 kgBracke
990
79 kgSwerts
990
75 kgKarstens
990
74 kgSteevens
990
73 kgMortensen
990
70 kgDolman
990
71 kgVasseur
990
67 kgPeffgen
990
67 kgSchutz
990
72 kgJansen
990
70 kgPettersson
990
75 kgBramucci
990
70 kg
Weight (KG) →
Result →
79
67
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | JANSSEN Jan | 76 |
2 | MERCKX Eddy | 74 |
10 | POULIDOR Raymond | 71 |
990 | ZOETEMELK Joop | 68 |
990 | KREKELS Jan | 73 |
990 | DIERICKX André | 74 |
990 | BRACKE Ferdinand | 79 |
990 | SWERTS Roger | 75 |
990 | KARSTENS Gerben | 74 |
990 | STEEVENS Harry | 73 |
990 | MORTENSEN Leif | 70 |
990 | DOLMAN Evert | 71 |
990 | VASSEUR Alain | 67 |
990 | PEFFGEN Wilfried | 67 |
990 | SCHUTZ Edy | 72 |
990 | JANSEN Harrie | 70 |
990 | PETTERSSON Sture | 75 |
990 | BRAMUCCI Giovanni | 70 |