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 = 0.4 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Sciandri
1
75 kgMadouas
3
70 kgHolm Sørensen
5
77 kgEkimov
9
69 kgBaldato
14
60 kgPlanckaert
15
70 kgDe Clercq
17
66 kgVerstrepen
18
66 kgFarazijn
28
69 kgPoli
32
87 kgDe Wilde
42
70 kgAndreu
44
77 kgUshakov
51
73 kgAbduzhaparov
53
72 kgJeker
56
72 kgMoreau
60
77 kgCapelle
61
73 kgBölts
68
73 kgStenersen
69
70 kgDuclos-Lassalle
70
73 kgBaguet
71
67 kgDemol
72
72 kgMadiot
91
68 kg
1
75 kgMadouas
3
70 kgHolm Sørensen
5
77 kgEkimov
9
69 kgBaldato
14
60 kgPlanckaert
15
70 kgDe Clercq
17
66 kgVerstrepen
18
66 kgFarazijn
28
69 kgPoli
32
87 kgDe Wilde
42
70 kgAndreu
44
77 kgUshakov
51
73 kgAbduzhaparov
53
72 kgJeker
56
72 kgMoreau
60
77 kgCapelle
61
73 kgBölts
68
73 kgStenersen
69
70 kgDuclos-Lassalle
70
73 kgBaguet
71
67 kgDemol
72
72 kgMadiot
91
68 kg
Weight (KG) →
Result →
87
60
1
91
# | Rider | Weight (KG) |
---|---|---|
1 | SCIANDRI Maximilian | 75 |
3 | MADOUAS Laurent | 70 |
5 | HOLM SØRENSEN Brian | 77 |
9 | EKIMOV Viatcheslav | 69 |
14 | BALDATO Fabio | 60 |
15 | PLANCKAERT Jo | 70 |
17 | DE CLERCQ Mario | 66 |
18 | VERSTREPEN Johan | 66 |
28 | FARAZIJN Peter | 69 |
32 | POLI Eros | 87 |
42 | DE WILDE Etienne | 70 |
44 | ANDREU Frankie | 77 |
51 | USHAKOV Serhiy | 73 |
53 | ABDUZHAPAROV Djamolidine | 72 |
56 | JEKER Fabian | 72 |
60 | MOREAU Francis | 77 |
61 | CAPELLE Christophe | 73 |
68 | BÖLTS Udo | 73 |
69 | STENERSEN Bjørn | 70 |
70 | DUCLOS-LASSALLE Gilbert | 73 |
71 | BAGUET Serge | 67 |
72 | DEMOL Dirk | 72 |
91 | MADIOT Marc | 68 |