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 + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Vos
1
58 kgCooke
2
58 kgvan Vleuten
3
59 kgAmialiusik
6
53 kgVysotska
7
55 kgBurchenkova
8
67 kgMartisova
9
64 kgPankova
13
52 kgBatagelj
14
53 kgAntoshina
15
55 kgBrzeźna
20
56 kgTrott
28
56 kgMartin
31
57 kgBrennauer
39
63 kgHannes
46
51 kgPavlukhina
52
68 kgMoberg
53
56 kgRyan
54
59 kgPintar
73
56 kgRijkes
90
57 kg
1
58 kgCooke
2
58 kgvan Vleuten
3
59 kgAmialiusik
6
53 kgVysotska
7
55 kgBurchenkova
8
67 kgMartisova
9
64 kgPankova
13
52 kgBatagelj
14
53 kgAntoshina
15
55 kgBrzeźna
20
56 kgTrott
28
56 kgMartin
31
57 kgBrennauer
39
63 kgHannes
46
51 kgPavlukhina
52
68 kgMoberg
53
56 kgRyan
54
59 kgPintar
73
56 kgRijkes
90
57 kg
Weight (KG) →
Result →
68
51
1
90
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
2 | COOKE Nicole | 58 |
3 | VAN VLEUTEN Annemiek | 59 |
6 | AMIALIUSIK Alena | 53 |
7 | VYSOTSKA Ievgeniia | 55 |
8 | BURCHENKOVA Alexandra | 67 |
9 | MARTISOVA Julia | 64 |
13 | PANKOVA Larisa | 52 |
14 | BATAGELJ Polona | 53 |
15 | ANTOSHINA Tatiana | 55 |
20 | BRZEŹNA Paulina | 56 |
28 | TROTT Laura | 56 |
31 | MARTIN Lucy | 57 |
39 | BRENNAUER Lisa | 63 |
46 | HANNES Kaat | 51 |
52 | PAVLUKHINA Olena | 68 |
53 | MOBERG Emilie | 56 |
54 | RYAN Kendall | 59 |
73 | PINTAR Urška | 56 |
90 | RIJKES Sarah | 57 |