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 + 59
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Sagan
1
78 kgJaniaczyk
4
68 kgBodnar
6
68 kgKohut
9
65 kgKiendyś
13
78 kgBengsch
14
85 kgMahďar
15
61 kgZieliński
19
61 kgLisowicz
20
85 kgRomanik
21
62 kgMorajko
22
65 kgSelig
24
80 kgPodlaski
30
68 kgStachowiak
34
62 kgBaranowski
36
68 kgKomar
37
73 kgPfingsten
39
69 kgCharucki
44
64 kgLagkuti
46
68 kgTybor
53
72 kgSeubert
58
73 kgMatysiak
64
71 kgSagan
75
65 kg
1
78 kgJaniaczyk
4
68 kgBodnar
6
68 kgKohut
9
65 kgKiendyś
13
78 kgBengsch
14
85 kgMahďar
15
61 kgZieliński
19
61 kgLisowicz
20
85 kgRomanik
21
62 kgMorajko
22
65 kgSelig
24
80 kgPodlaski
30
68 kgStachowiak
34
62 kgBaranowski
36
68 kgKomar
37
73 kgPfingsten
39
69 kgCharucki
44
64 kgLagkuti
46
68 kgTybor
53
72 kgSeubert
58
73 kgMatysiak
64
71 kgSagan
75
65 kg
Weight (KG) →
Result →
85
61
1
75
# | Rider | Weight (KG) |
---|---|---|
1 | SAGAN Peter | 78 |
4 | JANIACZYK Błażej | 68 |
6 | BODNAR Łukasz | 68 |
9 | KOHUT Sławomir | 65 |
13 | KIENDYŚ Tomasz | 78 |
14 | BENGSCH Robert | 85 |
15 | MAHĎAR Martin | 61 |
19 | ZIELIńSKI Kamil | 61 |
20 | LISOWICZ Tomasz | 85 |
21 | ROMANIK Radosław | 62 |
22 | MORAJKO Jacek | 65 |
24 | SELIG Rüdiger | 80 |
30 | PODLASKI Michał | 68 |
34 | STACHOWIAK Adam | 62 |
36 | BARANOWSKI Dariusz | 68 |
37 | KOMAR Mateusz | 73 |
39 | PFINGSTEN Christoph | 69 |
44 | CHARUCKI Paweł | 64 |
46 | LAGKUTI Sergiy | 68 |
53 | TYBOR Patrik | 72 |
58 | SEUBERT Timon | 73 |
64 | MATYSIAK Bartłomiej | 71 |
75 | SAGAN Juraj | 65 |