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 = 0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Amialiusik
1
53 kgNumainville
5
65 kgSmall
6
55 kgStephens
7
55 kgConfalonieri
9
56 kgCanuel
12
51 kgBujak
13
63 kgKiesanowski
14
56 kgRoorda
15
70 kgSlappendel
19
67 kgVillumsen
26
59 kgBarnes
27
52 kgMagner
28
57 kgGoldman
31
64 kgPeñuela
34
53 kgPilote Fortin
35
55 kgLaws
37
54 kgMoberg
40
56 kgWild
41
75 kgHammes
52
54 kg
1
53 kgNumainville
5
65 kgSmall
6
55 kgStephens
7
55 kgConfalonieri
9
56 kgCanuel
12
51 kgBujak
13
63 kgKiesanowski
14
56 kgRoorda
15
70 kgSlappendel
19
67 kgVillumsen
26
59 kgBarnes
27
52 kgMagner
28
57 kgGoldman
31
64 kgPeñuela
34
53 kgPilote Fortin
35
55 kgLaws
37
54 kgMoberg
40
56 kgWild
41
75 kgHammes
52
54 kg
Weight (KG) →
Result →
75
51
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMIALIUSIK Alena | 53 |
| 5 | NUMAINVILLE Joëlle | 65 |
| 6 | SMALL Carmen | 55 |
| 7 | STEPHENS Lauren | 55 |
| 9 | CONFALONIERI Maria Giulia | 56 |
| 12 | CANUEL Karol-Ann | 51 |
| 13 | BUJAK Eugenia | 63 |
| 14 | KIESANOWSKI Joanne | 56 |
| 15 | ROORDA Stephanie | 70 |
| 19 | SLAPPENDEL Iris | 67 |
| 26 | VILLUMSEN Linda | 59 |
| 27 | BARNES Hannah | 52 |
| 28 | MAGNER Alexis | 57 |
| 31 | GOLDMAN Lindsay | 64 |
| 34 | PEÑUELA Diana | 53 |
| 35 | PILOTE FORTIN Gabrielle | 55 |
| 37 | LAWS Sharon | 54 |
| 40 | MOBERG Emilie | 56 |
| 41 | WILD Kirsten | 75 |
| 52 | HAMMES Kathrin | 54 |