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 = 0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Padrnos
1
81 kgBaranowski
2
68 kgBrożyna
3
65 kgAxelsson
6
73 kgRomanik
10
62 kgIvanov
16
71 kgKodanipork
19
69 kgBonciucov
20
66 kgRittsel
22
70 kgHuser
26
65 kgNazon
28
68 kgPrzydział
31
80 kgAndrle
32
70 kgKonečný
35
67 kgSarkauskas
36
74 kgGono
43
69 kgOriol
48
71 kgRumšas
57
64 kgTonoritchi
60
74 kgPoitschke
61
73 kg
1
81 kgBaranowski
2
68 kgBrożyna
3
65 kgAxelsson
6
73 kgRomanik
10
62 kgIvanov
16
71 kgKodanipork
19
69 kgBonciucov
20
66 kgRittsel
22
70 kgHuser
26
65 kgNazon
28
68 kgPrzydział
31
80 kgAndrle
32
70 kgKonečný
35
67 kgSarkauskas
36
74 kgGono
43
69 kgOriol
48
71 kgRumšas
57
64 kgTonoritchi
60
74 kgPoitschke
61
73 kg
Weight (KG) →
Result →
81
62
1
61
# | Rider | Weight (KG) |
---|---|---|
1 | PADRNOS Pavel | 81 |
2 | BARANOWSKI Dariusz | 68 |
3 | BROŻYNA Tomasz | 65 |
6 | AXELSSON Niklas | 73 |
10 | ROMANIK Radosław | 62 |
16 | IVANOV Ruslan | 71 |
19 | KODANIPORK Raido | 69 |
20 | BONCIUCOV Igor | 66 |
22 | RITTSEL Martin | 70 |
26 | HUSER Rolf | 65 |
28 | NAZON Damien | 68 |
31 | PRZYDZIAŁ Piotr | 80 |
32 | ANDRLE René | 70 |
35 | KONEČNÝ Tomáš | 67 |
36 | SARKAUSKAS Saulius | 74 |
43 | GONO Marcel | 69 |
48 | ORIOL Vyaceslav | 71 |
57 | RUMŠAS Raimondas | 64 |
60 | TONORITCHI Oleg | 74 |
61 | POITSCHKE Enrico | 73 |