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 = -0.7 * weight + 89
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Sierra
1
57 kgNerlo
6
65 kgNovolodskaia
8
57 kgShapira
10
58 kgSolovey
14
56 kgMalcotti
21
52 kgSkalniak-Sójka
24
54 kgKarasiewicz
25
69 kgPisciali
44
63 kgSchweinberger
56
67 kgDocx
59
52 kgGafinovitz
65
52 kgMissiaggia
68
53 kgTacey
74
62 kgScandolara
75
52 kgTeolis
82
52 kgMartins
88
61 kgBaleišytė
90
65 kgBritz
95
53 kg
1
57 kgNerlo
6
65 kgNovolodskaia
8
57 kgShapira
10
58 kgSolovey
14
56 kgMalcotti
21
52 kgSkalniak-Sójka
24
54 kgKarasiewicz
25
69 kgPisciali
44
63 kgSchweinberger
56
67 kgDocx
59
52 kgGafinovitz
65
52 kgMissiaggia
68
53 kgTacey
74
62 kgScandolara
75
52 kgTeolis
82
52 kgMartins
88
61 kgBaleišytė
90
65 kgBritz
95
53 kg
Weight (KG) →
Result →
69
52
1
95
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIERRA Arlenis | 57 |
| 6 | NERLO Aurela | 65 |
| 8 | NOVOLODSKAIA Maria | 57 |
| 10 | SHAPIRA Omer | 58 |
| 14 | SOLOVEY Hanna | 56 |
| 21 | MALCOTTI Barbara | 52 |
| 24 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 25 | KARASIEWICZ Karolina | 69 |
| 44 | PISCIALI Francesca | 63 |
| 56 | SCHWEINBERGER Christina | 67 |
| 59 | DOCX Mieke | 52 |
| 65 | GAFINOVITZ Rotem | 52 |
| 68 | MISSIAGGIA Alessia | 53 |
| 74 | TACEY April | 62 |
| 75 | SCANDOLARA Valentina | 52 |
| 82 | TEOLIS Jade | 52 |
| 88 | MARTINS Maria | 61 |
| 90 | BALEIŠYTĖ Olivija | 65 |
| 95 | BRITZ Azulde | 53 |