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 + 83
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Markov
3
80 kgMickiewicz
9
74 kgSivakov
22
72 kgLjungblad
23
70 kgMazur
24
73 kgLisowicz
29
85 kgKarczyński
33
66 kgKukk
41
74 kgPrzydział
47
80 kgHoffmann
55
65 kgKrupa
56
74 kgSchröder
58
64 kgKiendyś
66
78 kgPawlak
77
73 kgvan Groen
78
69 kgBodnar
79
68 kgRiška
83
73 kgSapa
84
82 kgGajek
93
74 kgOjavee
108
80 kgWitecki
120
70 kg
3
80 kgMickiewicz
9
74 kgSivakov
22
72 kgLjungblad
23
70 kgMazur
24
73 kgLisowicz
29
85 kgKarczyński
33
66 kgKukk
41
74 kgPrzydział
47
80 kgHoffmann
55
65 kgKrupa
56
74 kgSchröder
58
64 kgKiendyś
66
78 kgPawlak
77
73 kgvan Groen
78
69 kgBodnar
79
68 kgRiška
83
73 kgSapa
84
82 kgGajek
93
74 kgOjavee
108
80 kgWitecki
120
70 kg
Weight (KG) →
Result →
85
64
3
120
# | Rider | Weight (KG) |
---|---|---|
3 | MARKOV Alexei | 80 |
9 | MICKIEWICZ Jacek | 74 |
22 | SIVAKOV Alexei | 72 |
23 | LJUNGBLAD Jonas | 70 |
24 | MAZUR Peter | 73 |
29 | LISOWICZ Tomasz | 85 |
33 | KARCZYŃSKI Marcin | 66 |
41 | KUKK Sigvard | 74 |
47 | PRZYDZIAŁ Piotr | 80 |
55 | HOFFMANN Erik | 65 |
56 | KRUPA Dawid | 74 |
58 | SCHRÖDER Björn | 64 |
66 | KIENDYŚ Tomasz | 78 |
77 | PAWLAK Wojciech | 73 |
78 | VAN GROEN Arnoud | 69 |
79 | BODNAR Łukasz | 68 |
83 | RIŠKA Martin | 73 |
84 | SAPA Marcin | 82 |
93 | GAJEK Artur | 74 |
108 | OJAVEE Mart | 80 |
120 | WITECKI Mariusz | 70 |