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 + 27
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bronzini
1
54 kgLjungskog
2
57 kgValen
4
62 kgGilmore
6
56 kgFernandes Silva
8
52 kgWood
9
56 kgMartisova
10
64 kgMelchers
11
59 kgCarrigan
14
60 kgCappellotto
17
60 kgGunnewijk
20
67 kgCooke
22
58 kgLe Floc'h
24
59 kgMarsal
30
53 kgDoppmann
34
55 kgStahurskaya
35
69 kgFernandes
37
54 kgHeeb
38
51 kgPučinskaitė
43
54 kgArmstrong
44
58 kgMatusiak
47
58 kgCarrara
56
64 kgLichtenberg
69
52 kgCantele
71
58 kgSchleicher
88
58 kgKoedooder
89
69 kgZabirova
90
65 kgCorneo
91
54 kgBrzeźna
104
56 kgSalvetat
109
55 kg
1
54 kgLjungskog
2
57 kgValen
4
62 kgGilmore
6
56 kgFernandes Silva
8
52 kgWood
9
56 kgMartisova
10
64 kgMelchers
11
59 kgCarrigan
14
60 kgCappellotto
17
60 kgGunnewijk
20
67 kgCooke
22
58 kgLe Floc'h
24
59 kgMarsal
30
53 kgDoppmann
34
55 kgStahurskaya
35
69 kgFernandes
37
54 kgHeeb
38
51 kgPučinskaitė
43
54 kgArmstrong
44
58 kgMatusiak
47
58 kgCarrara
56
64 kgLichtenberg
69
52 kgCantele
71
58 kgSchleicher
88
58 kgKoedooder
89
69 kgZabirova
90
65 kgCorneo
91
54 kgBrzeźna
104
56 kgSalvetat
109
55 kg
Weight (KG) →
Result →
69
51
1
109
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | LJUNGSKOG Susanne | 57 |
| 4 | VALEN Anita | 62 |
| 6 | GILMORE Rochelle | 56 |
| 8 | FERNANDES SILVA Janildes | 52 |
| 9 | WOOD Oenone | 56 |
| 10 | MARTISOVA Julia | 64 |
| 11 | MELCHERS Mirjam | 59 |
| 14 | CARRIGAN Sara | 60 |
| 17 | CAPPELLOTTO Alessandra | 60 |
| 20 | GUNNEWIJK Loes | 67 |
| 22 | COOKE Nicole | 58 |
| 24 | LE FLOC'H Magali | 59 |
| 30 | MARSAL Catherine | 53 |
| 34 | DOPPMANN Priska | 55 |
| 35 | STAHURSKAYA Zinaida | 69 |
| 37 | FERNANDES Clemilda | 54 |
| 38 | HEEB Barbara | 51 |
| 43 | PUČINSKAITĖ Edita | 54 |
| 44 | ARMSTRONG Kristin | 58 |
| 47 | MATUSIAK Bogumiła | 58 |
| 56 | CARRARA Vera | 64 |
| 69 | LICHTENBERG Claudia | 52 |
| 71 | CANTELE Noemi | 58 |
| 88 | SCHLEICHER Regina | 58 |
| 89 | KOEDOODER Vera | 69 |
| 90 | ZABIROVA Zulfiya | 65 |
| 91 | CORNEO Sigrid | 54 |
| 104 | BRZEŹNA Paulina | 56 |
| 109 | SALVETAT Maryline | 55 |