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 + 37
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Neylan
4
52 kgCanuel
5
51 kgLaws
6
54 kgCantele
8
58 kgKirchmann
9
59 kgNumainville
11
65 kgSanchis
12
56 kgCordon-Ragot
13
60 kgVysotska
21
55 kgPavlukhina
25
68 kgde Vries
28
62 kgNilsson
30
58 kgHannes
34
51 kgVekemans
40
52 kgDuyck
43
60 kgCant
46
57 kgHanselmann
50
55 kgMagner
54
57 kgHammes
67
54 kgMoberg
72
56 kgFournier
75
60 kg
4
52 kgCanuel
5
51 kgLaws
6
54 kgCantele
8
58 kgKirchmann
9
59 kgNumainville
11
65 kgSanchis
12
56 kgCordon-Ragot
13
60 kgVysotska
21
55 kgPavlukhina
25
68 kgde Vries
28
62 kgNilsson
30
58 kgHannes
34
51 kgVekemans
40
52 kgDuyck
43
60 kgCant
46
57 kgHanselmann
50
55 kgMagner
54
57 kgHammes
67
54 kgMoberg
72
56 kgFournier
75
60 kg
Weight (KG) →
Result →
68
51
4
75
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | NEYLAN Rachel | 52 |
| 5 | CANUEL Karol-Ann | 51 |
| 6 | LAWS Sharon | 54 |
| 8 | CANTELE Noemi | 58 |
| 9 | KIRCHMANN Leah | 59 |
| 11 | NUMAINVILLE Joëlle | 65 |
| 12 | SANCHIS Anna | 56 |
| 13 | CORDON-RAGOT Audrey | 60 |
| 21 | VYSOTSKA Ievgeniia | 55 |
| 25 | PAVLUKHINA Olena | 68 |
| 28 | DE VRIES Marijn | 62 |
| 30 | NILSSON Hanna | 58 |
| 34 | HANNES Kaat | 51 |
| 40 | VEKEMANS Anisha | 52 |
| 43 | DUYCK Ann-Sophie | 60 |
| 46 | CANT Sanne | 57 |
| 50 | HANSELMANN Nicole | 55 |
| 54 | MAGNER Alexis | 57 |
| 67 | HAMMES Kathrin | 54 |
| 72 | MOBERG Emilie | 56 |
| 75 | FOURNIER Roxane | 60 |