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 * weight + 33
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Wild
1
75 kgBrand
2
57 kgBronzini
4
54 kgFrapporti
5
63 kgConfalonieri
6
56 kgHosking
8
60 kgGuarischi
9
57 kgJeuland-Tranchant
10
61 kgvan Dijk
11
71 kgOlds
12
54 kgJohansson
14
58 kgFournier
16
60 kgElvin
18
63 kgScandolara
20
52 kgCecchini
21
52 kgde Baat
22
56 kgKiesanowski
26
56 kgKitchen
27
60 kgBrennauer
31
63 kgWong Wan
32
54 kgSlappendel
33
67 kgSmall
38
55 kgGuderzo
39
54 kgvan der Breggen
40
56 kgLichtenberg
44
52 kgFahlin
45
63 kgBecker
46
64 kgGunnewijk
50
67 kgLongo Borghini
51
59 kgSpratt
52
55 kgDuehring
53
54 kgCordon-Ragot
54
60 kgBartelloni
58
63 kgPieters
59
58 kgKröger
61
77 kgCantele
65
58 kgAmialiusik
67
53 kgValsecchi
68
58 kgHatteland Lima
69
65 kgVekemans
75
52 kgMeng
76
65 kg
1
75 kgBrand
2
57 kgBronzini
4
54 kgFrapporti
5
63 kgConfalonieri
6
56 kgHosking
8
60 kgGuarischi
9
57 kgJeuland-Tranchant
10
61 kgvan Dijk
11
71 kgOlds
12
54 kgJohansson
14
58 kgFournier
16
60 kgElvin
18
63 kgScandolara
20
52 kgCecchini
21
52 kgde Baat
22
56 kgKiesanowski
26
56 kgKitchen
27
60 kgBrennauer
31
63 kgWong Wan
32
54 kgSlappendel
33
67 kgSmall
38
55 kgGuderzo
39
54 kgvan der Breggen
40
56 kgLichtenberg
44
52 kgFahlin
45
63 kgBecker
46
64 kgGunnewijk
50
67 kgLongo Borghini
51
59 kgSpratt
52
55 kgDuehring
53
54 kgCordon-Ragot
54
60 kgBartelloni
58
63 kgPieters
59
58 kgKröger
61
77 kgCantele
65
58 kgAmialiusik
67
53 kgValsecchi
68
58 kgHatteland Lima
69
65 kgVekemans
75
52 kgMeng
76
65 kg
Weight (KG) →
Result →
77
52
1
76
# | Rider | Weight (KG) |
---|---|---|
1 | WILD Kirsten | 75 |
2 | BRAND Lucinda | 57 |
4 | BRONZINI Giorgia | 54 |
5 | FRAPPORTI Simona | 63 |
6 | CONFALONIERI Maria Giulia | 56 |
8 | HOSKING Chloe | 60 |
9 | GUARISCHI Barbara | 57 |
10 | JEULAND-TRANCHANT Pascale | 61 |
11 | VAN DIJK Ellen | 71 |
12 | OLDS Shelley | 54 |
14 | JOHANSSON Emma | 58 |
16 | FOURNIER Roxane | 60 |
18 | ELVIN Gracie | 63 |
20 | SCANDOLARA Valentina | 52 |
21 | CECCHINI Elena | 52 |
22 | DE BAAT Kim | 56 |
26 | KIESANOWSKI Joanne | 56 |
27 | KITCHEN Lauren | 60 |
31 | BRENNAUER Lisa | 63 |
32 | WONG WAN Yiu | 54 |
33 | SLAPPENDEL Iris | 67 |
38 | SMALL Carmen | 55 |
39 | GUDERZO Tatiana | 54 |
40 | VAN DER BREGGEN Anna | 56 |
44 | LICHTENBERG Claudia | 52 |
45 | FAHLIN Emilia | 63 |
46 | BECKER Charlotte | 64 |
50 | GUNNEWIJK Loes | 67 |
51 | LONGO BORGHINI Elisa | 59 |
52 | SPRATT Amanda | 55 |
53 | DUEHRING Jasmin | 54 |
54 | CORDON-RAGOT Audrey | 60 |
58 | BARTELLONI Beatrice | 63 |
59 | PIETERS Amy | 58 |
61 | KRÖGER Mieke | 77 |
65 | CANTELE Noemi | 58 |
67 | AMIALIUSIK Alena | 53 |
68 | VALSECCHI Silvia | 58 |
69 | HATTELAND LIMA Tone | 65 |
75 | VEKEMANS Anisha | 52 |
76 | MENG Lang | 65 |