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 + 57
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Sierra
1
57 kgNerlo
4
65 kgShapira
6
58 kgNovolodskaia
7
57 kgSolovey
14
56 kgKarasiewicz
23
69 kgSkalniak-Sójka
24
54 kgAlzini
25
64 kgPisciali
31
63 kgPollicini
50
57 kgMalcotti
51
52 kgDocx
63
52 kgGafinovitz
69
52 kgSchweinberger
72
67 kgMissiaggia
76
53 kgScandolara
81
52 kgTacey
83
62 kgTeolis
91
52 kgBaleišytė
100
65 kgBritz
111
53 kgLorenzen
114
71 kgMartins
123
61 kg
1
57 kgNerlo
4
65 kgShapira
6
58 kgNovolodskaia
7
57 kgSolovey
14
56 kgKarasiewicz
23
69 kgSkalniak-Sójka
24
54 kgAlzini
25
64 kgPisciali
31
63 kgPollicini
50
57 kgMalcotti
51
52 kgDocx
63
52 kgGafinovitz
69
52 kgSchweinberger
72
67 kgMissiaggia
76
53 kgScandolara
81
52 kgTacey
83
62 kgTeolis
91
52 kgBaleišytė
100
65 kgBritz
111
53 kgLorenzen
114
71 kgMartins
123
61 kg
Weight (KG) →
Result →
71
52
1
123
# | Rider | Weight (KG) |
---|---|---|
1 | SIERRA Arlenis | 57 |
4 | NERLO Aurela | 65 |
6 | SHAPIRA Omer | 58 |
7 | NOVOLODSKAIA Maria | 57 |
14 | SOLOVEY Hanna | 56 |
23 | KARASIEWICZ Karolina | 69 |
24 | SKALNIAK-SÓJKA Agnieszka | 54 |
25 | ALZINI Martina | 64 |
31 | PISCIALI Francesca | 63 |
50 | POLLICINI Silvia | 57 |
51 | MALCOTTI Barbara | 52 |
63 | DOCX Mieke | 52 |
69 | GAFINOVITZ Rotem | 52 |
72 | SCHWEINBERGER Christina | 67 |
76 | MISSIAGGIA Alessia | 53 |
81 | SCANDOLARA Valentina | 52 |
83 | TACEY April | 62 |
91 | TEOLIS Jade | 52 |
100 | BALEIŠYTĖ Olivija | 65 |
111 | BRITZ Azulde | 53 |
114 | LORENZEN Christina Bragh | 71 |
123 | MARTINS Maria | 61 |