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 = 0.3 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rooijakkers
1
58 kgPaladin
6
59 kgChabbey
7
52 kgBaril
13
56 kgDoebel-Hickok
17
51 kgBiannic
21
64 kgHammes
23
54 kgStannard
25
55 kgVitillo
27
51 kgOyarbide
33
52 kgNilsson
34
58 kgGutiérrez
38
60 kgGonzález
40
51 kgDrummond
41
61 kgVigié
44
58 kgPirrone
49
63 kgRodríguez
50
57 kgLarrarte
51
63 kgFournier
52
60 kgDuval
53
53 kgGuderzo
63
54 kgMilette
68
52 kg
1
58 kgPaladin
6
59 kgChabbey
7
52 kgBaril
13
56 kgDoebel-Hickok
17
51 kgBiannic
21
64 kgHammes
23
54 kgStannard
25
55 kgVitillo
27
51 kgOyarbide
33
52 kgNilsson
34
58 kgGutiérrez
38
60 kgGonzález
40
51 kgDrummond
41
61 kgVigié
44
58 kgPirrone
49
63 kgRodríguez
50
57 kgLarrarte
51
63 kgFournier
52
60 kgDuval
53
53 kgGuderzo
63
54 kgMilette
68
52 kg
Weight (KG) →
Result →
64
51
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROOIJAKKERS Pauliena | 58 |
| 6 | PALADIN Soraya | 59 |
| 7 | CHABBEY Elise | 52 |
| 13 | BARIL Olivia | 56 |
| 17 | DOEBEL-HICKOK Krista | 51 |
| 21 | BIANNIC Aude | 64 |
| 23 | HAMMES Kathrin | 54 |
| 25 | STANNARD Elizabeth | 55 |
| 27 | VITILLO Matilde | 51 |
| 33 | OYARBIDE Lourdes | 52 |
| 34 | NILSSON Hanna | 58 |
| 38 | GUTIÉRREZ Sheyla | 60 |
| 40 | GONZÁLEZ Alicia | 51 |
| 41 | DRUMMOND Michaela | 61 |
| 44 | VIGIÉ Margaux | 58 |
| 49 | PIRRONE Elena | 63 |
| 50 | RODRÍGUEZ Gloria | 57 |
| 51 | LARRARTE Eukene | 63 |
| 52 | FOURNIER Roxane | 60 |
| 53 | DUVAL Eugénie | 53 |
| 63 | GUDERZO Tatiana | 54 |
| 68 | MILETTE Laury | 52 |