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 = -1.4 * weight + 121
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Guarischi
2
57 kgConsonni
4
59 kgCopponi
5
55 kgFortin
6
55 kgBeuling
9
65 kgLópez
10
67 kgKuijpers
11
73 kgMagner
17
57 kgBarbieri
18
55 kgvan der Hulst
19
66 kgBolks
20
60 kgLach
21
59 kgGreenwood
23
60 kgDe Wilde
32
62 kgFidanza
34
60 kgTacey
35
62 kgSels
36
65 kgvan Dijk
38
71 kgVitillo
48
51 kgVigié
66
58 kgStultiens
81
58 kgAchtereekte
85
60 kgStern
88
55 kgTeutenberg
92
53 kgMartins
103
61 kg
2
57 kgConsonni
4
59 kgCopponi
5
55 kgFortin
6
55 kgBeuling
9
65 kgLópez
10
67 kgKuijpers
11
73 kgMagner
17
57 kgBarbieri
18
55 kgvan der Hulst
19
66 kgBolks
20
60 kgLach
21
59 kgGreenwood
23
60 kgDe Wilde
32
62 kgFidanza
34
60 kgTacey
35
62 kgSels
36
65 kgvan Dijk
38
71 kgVitillo
48
51 kgVigié
66
58 kgStultiens
81
58 kgAchtereekte
85
60 kgStern
88
55 kgTeutenberg
92
53 kgMartins
103
61 kg
Weight (KG) →
Result →
73
51
2
103
# | Rider | Weight (KG) |
---|---|---|
2 | GUARISCHI Barbara | 57 |
4 | CONSONNI Chiara | 59 |
5 | COPPONI Clara | 55 |
6 | FORTIN Valentine | 55 |
9 | BEULING Femke | 65 |
10 | LÓPEZ Marga | 67 |
11 | KUIJPERS Evy | 73 |
17 | MAGNER Alexis | 57 |
18 | BARBIERI Rachele | 55 |
19 | VAN DER HULST Amber | 66 |
20 | BOLKS Florien | 60 |
21 | LACH Marta | 59 |
23 | GREENWOOD Monica | 60 |
32 | DE WILDE Julie | 62 |
34 | FIDANZA Martina | 60 |
35 | TACEY April | 62 |
36 | SELS Loes | 65 |
38 | VAN DIJK Ellen | 71 |
48 | VITILLO Matilde | 51 |
66 | VIGIÉ Margaux | 58 |
81 | STULTIENS Sabrina | 58 |
85 | ACHTEREEKTE Carlijn | 60 |
88 | STERN Léa | 55 |
92 | TEUTENBERG Lea Lin | 53 |
103 | MARTINS Maria | 61 |