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 = -14.4 * weight + 1759
This means that on average for every extra kilogram weight a rider loses -14.4 positions in the result.
Vanderaerden
3
74 kgPlanckaert
5
69 kgSergeant
6
76 kgElliott
7
76 kgDemol
9
72 kgMoreau
990
77 kgSwart
990
74 kgMadiot
990
68 kgMarie
990
68 kgGayant
990
69 kgJourdan
990
64 kgYates
990
74 kgBernaudeau
990
64 kgNevens
990
58 kgPieters
990
82 kgWampers
990
82 kgNijdam
990
70 kgZoetemelk
990
68 kgDuclos-Lassalle
990
73 kg
3
74 kgPlanckaert
5
69 kgSergeant
6
76 kgElliott
7
76 kgDemol
9
72 kgMoreau
990
77 kgSwart
990
74 kgMadiot
990
68 kgMarie
990
68 kgGayant
990
69 kgJourdan
990
64 kgYates
990
74 kgBernaudeau
990
64 kgNevens
990
58 kgPieters
990
82 kgWampers
990
82 kgNijdam
990
70 kgZoetemelk
990
68 kgDuclos-Lassalle
990
73 kg
Weight (KG) →
Result →
82
58
3
990
# | Rider | Weight (KG) |
---|---|---|
3 | VANDERAERDEN Eric | 74 |
5 | PLANCKAERT Eddy | 69 |
6 | SERGEANT Marc | 76 |
7 | ELLIOTT Malcolm | 76 |
9 | DEMOL Dirk | 72 |
990 | MOREAU Francis | 77 |
990 | SWART Steve | 74 |
990 | MADIOT Marc | 68 |
990 | MARIE Thierry | 68 |
990 | GAYANT Martial | 69 |
990 | JOURDAN Christian | 64 |
990 | YATES Sean | 74 |
990 | BERNAUDEAU Jean-René | 64 |
990 | NEVENS Jan | 58 |
990 | PIETERS Peter | 82 |
990 | WAMPERS Jean-Marie | 82 |
990 | NIJDAM Jelle | 70 |
990 | ZOETEMELK Joop | 68 |
990 | DUCLOS-LASSALLE Gilbert | 73 |