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 = -0.5 * weight + 82
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
van Dijk
2
71 kgVigié
6
58 kgDe Wilde
12
62 kgCopponi
13
55 kgvan der Hulst
20
66 kgConsonni
21
59 kgBarbieri
23
55 kgAchtereekte
35
60 kgStern
39
55 kgTacey
43
62 kgKuijpers
44
73 kgMagner
45
57 kgStultiens
55
58 kgVitillo
58
51 kgGuarischi
67
57 kgTeutenberg
72
53 kgGreenwood
73
60 kgBeuling
75
65 kgMartins
82
61 kgFidanza
83
60 kgBolks
85
60 kgSels
93
65 kgLach
100
59 kg
2
71 kgVigié
6
58 kgDe Wilde
12
62 kgCopponi
13
55 kgvan der Hulst
20
66 kgConsonni
21
59 kgBarbieri
23
55 kgAchtereekte
35
60 kgStern
39
55 kgTacey
43
62 kgKuijpers
44
73 kgMagner
45
57 kgStultiens
55
58 kgVitillo
58
51 kgGuarischi
67
57 kgTeutenberg
72
53 kgGreenwood
73
60 kgBeuling
75
65 kgMartins
82
61 kgFidanza
83
60 kgBolks
85
60 kgSels
93
65 kgLach
100
59 kg
Weight (KG) →
Result →
73
51
2
100
# | Rider | Weight (KG) |
---|---|---|
2 | VAN DIJK Ellen | 71 |
6 | VIGIÉ Margaux | 58 |
12 | DE WILDE Julie | 62 |
13 | COPPONI Clara | 55 |
20 | VAN DER HULST Amber | 66 |
21 | CONSONNI Chiara | 59 |
23 | BARBIERI Rachele | 55 |
35 | ACHTEREEKTE Carlijn | 60 |
39 | STERN Léa | 55 |
43 | TACEY April | 62 |
44 | KUIJPERS Evy | 73 |
45 | MAGNER Alexis | 57 |
55 | STULTIENS Sabrina | 58 |
58 | VITILLO Matilde | 51 |
67 | GUARISCHI Barbara | 57 |
72 | TEUTENBERG Lea Lin | 53 |
73 | GREENWOOD Monica | 60 |
75 | BEULING Femke | 65 |
82 | MARTINS Maria | 61 |
83 | FIDANZA Martina | 60 |
85 | BOLKS Florien | 60 |
93 | SELS Loes | 65 |
100 | LACH Marta | 59 |