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 - 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Vos
1
58 kgJohansson
2
58 kgArndt
3
59 kgFerrier-Bruneau
4
53 kgBatagelj
8
53 kgZabelinskaya
9
52 kgTeutenberg
10
64 kgDeignan
12
57 kgMustonen
13
58 kgAndruk
14
56 kgSöderberg
17
60 kgScandolara
18
52 kgFahlin
19
63 kgJasinska
20
57 kgMartisova
21
64 kgLaws
23
54 kgMarche
24
58 kg
1
58 kgJohansson
2
58 kgArndt
3
59 kgFerrier-Bruneau
4
53 kgBatagelj
8
53 kgZabelinskaya
9
52 kgTeutenberg
10
64 kgDeignan
12
57 kgMustonen
13
58 kgAndruk
14
56 kgSöderberg
17
60 kgScandolara
18
52 kgFahlin
19
63 kgJasinska
20
57 kgMartisova
21
64 kgLaws
23
54 kgMarche
24
58 kg
Weight (KG) →
Result →
64
52
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | VOS Marianne | 58 |
2 | JOHANSSON Emma | 58 |
3 | ARNDT Judith | 59 |
4 | FERRIER-BRUNEAU Christel | 53 |
8 | BATAGELJ Polona | 53 |
9 | ZABELINSKAYA Olga | 52 |
10 | TEUTENBERG Ina-Yoko | 64 |
12 | DEIGNAN Elizabeth | 57 |
13 | MUSTONEN Sara | 58 |
14 | ANDRUK Alona | 56 |
17 | SÖDERBERG Isabelle | 60 |
18 | SCANDOLARA Valentina | 52 |
19 | FAHLIN Emilia | 63 |
20 | JASINSKA Małgorzata | 57 |
21 | MARTISOVA Julia | 64 |
23 | LAWS Sharon | 54 |
24 | MARCHE Shara | 58 |