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 = -1.1 * weight + 90
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Knol
3
65 kgValen
5
61 kgGolay
6
65 kgHöljer
9
56 kgSkibby
11
54 kgSydor
12
58 kgZagorska
14
56 kgWerckx
15
65 kgStahurskaya
16
69 kgZilporytė
18
60 kgPaulitz-Müller
19
57 kgČepelienė
20
56 kgMarsal
21
53 kgWalczewski
22
52 kgZijlaard-van Moorsel
23
62 kgPurvis
24
52 kgVikstedt-Nyman
25
60 kgThompson
26
61 kgWestman
27
57 kgRossner
28
64 kgde Boer-Grimbergen
29
54 kgWay
31
61 kgClignet
33
60 kgHawkins
36
54 kgØrn
37
64 kgLindberg
38
63 kgBonanomi
39
60 kgJones
40
54 kgBollerud
41
59 kgRuano
42
51 kgHeeb
43
51 kgNiehaus
44
60 kgHodge
45
57 kgElkuch
47
54 kgCarceroni-Saintagne
48
54 kgReekie-may
49
53 kgSuzuki
50
57 kg
3
65 kgValen
5
61 kgGolay
6
65 kgHöljer
9
56 kgSkibby
11
54 kgSydor
12
58 kgZagorska
14
56 kgWerckx
15
65 kgStahurskaya
16
69 kgZilporytė
18
60 kgPaulitz-Müller
19
57 kgČepelienė
20
56 kgMarsal
21
53 kgWalczewski
22
52 kgZijlaard-van Moorsel
23
62 kgPurvis
24
52 kgVikstedt-Nyman
25
60 kgThompson
26
61 kgWestman
27
57 kgRossner
28
64 kgde Boer-Grimbergen
29
54 kgWay
31
61 kgClignet
33
60 kgHawkins
36
54 kgØrn
37
64 kgLindberg
38
63 kgBonanomi
39
60 kgJones
40
54 kgBollerud
41
59 kgRuano
42
51 kgHeeb
43
51 kgNiehaus
44
60 kgHodge
45
57 kgElkuch
47
54 kgCarceroni-Saintagne
48
54 kgReekie-may
49
53 kgSuzuki
50
57 kg
Weight (KG) →
Result →
69
51
3
50
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KNOL Monique | 65 |
| 5 | VALEN Monica | 61 |
| 6 | GOLAY Jeanne | 65 |
| 9 | HÖLJER Marie | 56 |
| 11 | SKIBBY Karina | 54 |
| 12 | SYDOR Alison | 58 |
| 14 | ZAGORSKA Aiga | 56 |
| 15 | WERCKX Kristel | 65 |
| 16 | STAHURSKAYA Zinaida | 69 |
| 18 | ZILPORYTĖ Laima | 60 |
| 19 | PAULITZ-MÜLLER Viola | 57 |
| 20 | ČEPELIENĖ Daiva | 56 |
| 21 | MARSAL Catherine | 53 |
| 22 | WALCZEWSKI Petra | 52 |
| 23 | ZIJLAARD-VAN MOORSEL Leontien | 62 |
| 24 | PURVIS Marie | 52 |
| 25 | VIKSTEDT-NYMAN Tea | 60 |
| 26 | THOMPSON Inga | 61 |
| 27 | WESTMAN Elisabeth | 57 |
| 28 | ROSSNER Petra | 64 |
| 29 | DE BOER-GRIMBERGEN Petra | 54 |
| 31 | WAY Kelly-Ann | 61 |
| 33 | CLIGNET Marion | 60 |
| 36 | HAWKINS Lena | 54 |
| 37 | ØRN Gunhild | 64 |
| 38 | LINDBERG Madeleine | 63 |
| 39 | BONANOMI Roberta | 60 |
| 40 | JONES Louise | 54 |
| 41 | BOLLERUD Ingunn | 59 |
| 42 | RUANO Dori | 51 |
| 43 | HEEB Barbara | 51 |
| 44 | NIEHAUS Jutta | 60 |
| 45 | HODGE Sally | 57 |
| 47 | ELKUCH Yvonne | 54 |
| 48 | CARCERONI-SAINTAGNE Cláudia | 54 |
| 49 | REEKIE-MAY Roz | 53 |
| 50 | SUZUKI Yumiko | 57 |