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 = 1.5 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Demoitié
1
69 kgReinhardt
2
72 kgDe Bie
4
65 kgPrevar
6
64 kgvan der Hoorn
8
73 kgLammertink
9
61 kgVan Rooy
12
70 kgČerný
14
75 kgGradek
15
83 kgStöhr
19
72 kgVallée
22
79 kgPiaskowy
27
60 kgRoosen
31
78 kgOwsian
35
66 kgWiśniowski
39
78 kgWarnier
45
71 kgMrożek
46
66 kgNovák
47
71 kgStöhr
49
66 kgHelven
52
74 kgTurek
64
72 kgBernas
67
77 kgAhiyevich
82
70 kgKolář
99
90 kg
1
69 kgReinhardt
2
72 kgDe Bie
4
65 kgPrevar
6
64 kgvan der Hoorn
8
73 kgLammertink
9
61 kgVan Rooy
12
70 kgČerný
14
75 kgGradek
15
83 kgStöhr
19
72 kgVallée
22
79 kgPiaskowy
27
60 kgRoosen
31
78 kgOwsian
35
66 kgWiśniowski
39
78 kgWarnier
45
71 kgMrożek
46
66 kgNovák
47
71 kgStöhr
49
66 kgHelven
52
74 kgTurek
64
72 kgBernas
67
77 kgAhiyevich
82
70 kgKolář
99
90 kg
Weight (KG) →
Result →
90
60
1
99
# | Rider | Weight (KG) |
---|---|---|
1 | DEMOITIÉ Antoine | 69 |
2 | REINHARDT Theo | 72 |
4 | DE BIE Sean | 65 |
6 | PREVAR Oleksandr | 64 |
8 | VAN DER HOORN Taco | 73 |
9 | LAMMERTINK Maurits | 61 |
12 | VAN ROOY Kenneth | 70 |
14 | ČERNÝ Josef | 75 |
15 | GRADEK Kamil | 83 |
19 | STÖHR Ján | 72 |
22 | VALLÉE Boris | 79 |
27 | PIASKOWY Emanuel | 60 |
31 | ROOSEN Timo | 78 |
35 | OWSIAN Łukasz | 66 |
39 | WIŚNIOWSKI Łukasz | 78 |
45 | WARNIER Antoine | 71 |
46 | MROŻEK Marcin | 66 |
47 | NOVÁK Jakub | 71 |
49 | STÖHR Pavel | 66 |
52 | HELVEN Sander | 74 |
64 | TUREK Daniel | 72 |
67 | BERNAS Paweł | 77 |
82 | AHIYEVICH Aleh | 70 |
99 | KOLÁŘ Michael | 90 |