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 = 0.9 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Hoskins
1
64 kgBaccaille
2
61 kgDe Vocht
3
61 kgOlds
4
54 kgGilmore
5
56 kgManeephan
6
59 kgMoberg
7
56 kgLiu
8
52 kgKasper
9
59 kgHsiao
11
58 kgCecchini
13
52 kgNa
14
55 kgHosking
15
60 kgMartin
18
57 kgSöderberg
22
60 kgBecker
25
64 kgBastianelli
26
60 kgMeng
31
65 kgNontasin
33
58 kgBrand
34
57 kgKitchen
35
60 kgArndt
41
59 kgRitter
44
59 kgSaarelainen
46
58 kgWong Wan
50
54 kgJasinska
51
57 kgBrennauer
52
63 kgBoyarskaya
58
67 kgDiao
60
59 kgMarche
64
58 kgNuntana
67
55 kgLuo
68
68 kgNeylan
71
52 kgHatteland Lima
75
65 kgSpratt
79
55 kgFahlin
82
63 kgGrassi
84
56 kg
1
64 kgBaccaille
2
61 kgDe Vocht
3
61 kgOlds
4
54 kgGilmore
5
56 kgManeephan
6
59 kgMoberg
7
56 kgLiu
8
52 kgKasper
9
59 kgHsiao
11
58 kgCecchini
13
52 kgNa
14
55 kgHosking
15
60 kgMartin
18
57 kgSöderberg
22
60 kgBecker
25
64 kgBastianelli
26
60 kgMeng
31
65 kgNontasin
33
58 kgBrand
34
57 kgKitchen
35
60 kgArndt
41
59 kgRitter
44
59 kgSaarelainen
46
58 kgWong Wan
50
54 kgJasinska
51
57 kgBrennauer
52
63 kgBoyarskaya
58
67 kgDiao
60
59 kgMarche
64
58 kgNuntana
67
55 kgLuo
68
68 kgNeylan
71
52 kgHatteland Lima
75
65 kgSpratt
79
55 kgFahlin
82
63 kgGrassi
84
56 kg
Weight (KG) →
Result →
68
52
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKINS Melissa | 64 |
| 2 | BACCAILLE Monia | 61 |
| 3 | DE VOCHT Liesbet | 61 |
| 4 | OLDS Shelley | 54 |
| 5 | GILMORE Rochelle | 56 |
| 6 | MANEEPHAN Jutatip | 59 |
| 7 | MOBERG Emilie | 56 |
| 8 | LIU Xin | 52 |
| 9 | KASPER Romy | 59 |
| 11 | HSIAO Mei Yu | 58 |
| 13 | CECCHINI Elena | 52 |
| 14 | NA Ahreum | 55 |
| 15 | HOSKING Chloe | 60 |
| 18 | MARTIN Lucy | 57 |
| 22 | SÖDERBERG Isabelle | 60 |
| 25 | BECKER Charlotte | 64 |
| 26 | BASTIANELLI Marta | 60 |
| 31 | MENG Lang | 65 |
| 33 | NONTASIN Chanpeng | 58 |
| 34 | BRAND Lucinda | 57 |
| 35 | KITCHEN Lauren | 60 |
| 41 | ARNDT Judith | 59 |
| 44 | RITTER Martina | 59 |
| 46 | SAARELAINEN Sari | 58 |
| 50 | WONG WAN Yiu | 54 |
| 51 | JASINSKA Małgorzata | 57 |
| 52 | BRENNAUER Lisa | 63 |
| 58 | BOYARSKAYA Natalia | 67 |
| 60 | DIAO Xiao Juan | 59 |
| 64 | MARCHE Shara | 58 |
| 67 | NUNTANA Supaksorn | 55 |
| 68 | LUO Xiao Ling | 68 |
| 71 | NEYLAN Rachel | 52 |
| 75 | HATTELAND LIMA Tone | 65 |
| 79 | SPRATT Amanda | 55 |
| 82 | FAHLIN Emilia | 63 |
| 84 | GRASSI Giuseppina | 56 |