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 = -0.6 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Sierra
5
57 kgMalcotti
8
52 kgSolovey
11
56 kgNovolodskaia
12
57 kgNerlo
13
65 kgShapira
18
58 kgKarasiewicz
20
69 kgSkalniak-Sójka
21
54 kgDocx
50
52 kgTacey
54
62 kgSchweinberger
56
67 kgGafinovitz
72
52 kgPisciali
73
63 kgScandolara
77
52 kgMissiaggia
79
53 kgMartins
83
61 kgTeolis
84
52 kgBaleišytė
91
65 kgBritz
97
53 kg
5
57 kgMalcotti
8
52 kgSolovey
11
56 kgNovolodskaia
12
57 kgNerlo
13
65 kgShapira
18
58 kgKarasiewicz
20
69 kgSkalniak-Sójka
21
54 kgDocx
50
52 kgTacey
54
62 kgSchweinberger
56
67 kgGafinovitz
72
52 kgPisciali
73
63 kgScandolara
77
52 kgMissiaggia
79
53 kgMartins
83
61 kgTeolis
84
52 kgBaleišytė
91
65 kgBritz
97
53 kg
Weight (KG) →
Result →
69
52
5
97
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SIERRA Arlenis | 57 |
| 8 | MALCOTTI Barbara | 52 |
| 11 | SOLOVEY Hanna | 56 |
| 12 | NOVOLODSKAIA Maria | 57 |
| 13 | NERLO Aurela | 65 |
| 18 | SHAPIRA Omer | 58 |
| 20 | KARASIEWICZ Karolina | 69 |
| 21 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 50 | DOCX Mieke | 52 |
| 54 | TACEY April | 62 |
| 56 | SCHWEINBERGER Christina | 67 |
| 72 | GAFINOVITZ Rotem | 52 |
| 73 | PISCIALI Francesca | 63 |
| 77 | SCANDOLARA Valentina | 52 |
| 79 | MISSIAGGIA Alessia | 53 |
| 83 | MARTINS Maria | 61 |
| 84 | TEOLIS Jade | 52 |
| 91 | BALEIŠYTĖ Olivija | 65 |
| 97 | BRITZ Azulde | 53 |