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 = 0.3 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Carpenter-Phinney
1
59 kgTwigg
2
57 kgSchumacher
3
59 kgLarsen
4
60 kgCanins
5
65 kgSørensen
7
56 kgEnzenauer
8
56 kgSeghezzi
9
51 kgParks
10
61 kgOdin
11
55 kgVarenkamp
12
63 kgSwinnerton
13
57 kgDamiani
14
56 kgRanudd
15
63 kgJahre
16
57 kgGornall
17
54 kgSøbye
18
54 kgGuichard
20
52 kgThompson
21
61 kgRobic-Brunet
22
58 kgBonanomi
23
60 kgAudet
24
64 kgBerglund
25
51 kgHack
26
60 kgStrong-Hearth
27
58 kgvan der Lienden
28
55 kgBlower
29
55 kgSharp
30
57 kgLu
31
51 kgRagg
32
53 kgAltweck
33
58 kgMenuzzo
34
58 kgWesther
35
60 kgLi
36
60 kgTop
37
66 kgvan Rijnsoever
39
68 kgAbe
40
60 kgLu
41
65 kgChoi
42
57 kgMun
43
59 kgSon
44
52 kg
1
59 kgTwigg
2
57 kgSchumacher
3
59 kgLarsen
4
60 kgCanins
5
65 kgSørensen
7
56 kgEnzenauer
8
56 kgSeghezzi
9
51 kgParks
10
61 kgOdin
11
55 kgVarenkamp
12
63 kgSwinnerton
13
57 kgDamiani
14
56 kgRanudd
15
63 kgJahre
16
57 kgGornall
17
54 kgSøbye
18
54 kgGuichard
20
52 kgThompson
21
61 kgRobic-Brunet
22
58 kgBonanomi
23
60 kgAudet
24
64 kgBerglund
25
51 kgHack
26
60 kgStrong-Hearth
27
58 kgvan der Lienden
28
55 kgBlower
29
55 kgSharp
30
57 kgLu
31
51 kgRagg
32
53 kgAltweck
33
58 kgMenuzzo
34
58 kgWesther
35
60 kgLi
36
60 kgTop
37
66 kgvan Rijnsoever
39
68 kgAbe
40
60 kgLu
41
65 kgChoi
42
57 kgMun
43
59 kgSon
44
52 kg
Weight (KG) →
Result →
68
51
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARPENTER-PHINNEY Connie | 59 |
| 2 | TWIGG Rebecca | 57 |
| 3 | SCHUMACHER Sandra | 59 |
| 4 | LARSEN Unni | 60 |
| 5 | CANINS Maria | 65 |
| 7 | SØRENSEN Helle | 56 |
| 8 | ENZENAUER Ute | 56 |
| 9 | SEGHEZZI Luisa | 51 |
| 10 | PARKS Janelle | 61 |
| 11 | ODIN Cecile | 55 |
| 12 | VARENKAMP Ines | 63 |
| 13 | SWINNERTON Catherine | 57 |
| 14 | DAMIANI Dominique | 56 |
| 15 | RANUDD Kristina | 63 |
| 16 | JAHRE Tuulikki | 57 |
| 17 | GORNALL Linda | 54 |
| 18 | SØBYE Nina | 54 |
| 20 | GUICHARD Marielle | 52 |
| 21 | THOMPSON Inga | 61 |
| 22 | ROBIC-BRUNET Geneviève | 58 |
| 23 | BONANOMI Roberta | 60 |
| 24 | AUDET Marie-Claude | 64 |
| 25 | BERGLUND Marianne | 51 |
| 26 | HACK Johanna | 60 |
| 27 | STRONG-HEARTH Karen Ann | 58 |
| 28 | VAN DER LIENDEN Leontine | 55 |
| 29 | BLOWER Maria | 55 |
| 30 | SHARP Muriel | 57 |
| 31 | LU Suyan | 51 |
| 32 | RAGG Kathlyn | 53 |
| 33 | ALTWECK Gabriele | 58 |
| 34 | MENUZZO Emanuella | 58 |
| 35 | WESTHER Paula | 60 |
| 36 | LI Wang | 60 |
| 37 | TOP Hennie | 66 |
| 39 | VAN RIJNSOEVER Thea | 68 |
| 40 | ABE Wakako | 60 |
| 41 | LU Yu'e | 65 |
| 42 | CHOI Eun Suk | 57 |
| 43 | MUN Suk | 59 |
| 44 | SON Yak Seon | 52 |