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 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Wiebes
1
60 kgJackson
7
63 kgDronova-Balabolina
8
63 kgBarbieri
9
55 kgPaladin
10
59 kgCordon-Ragot
11
60 kgDuval
12
53 kgBaker
13
66 kgCopponi
14
55 kgDideriksen
17
62 kgHenderson
18
58 kgKorevaar
20
59 kgSeitz
22
58 kgConsonni
24
59 kgHosking
25
60 kgKasper
26
59 kgDe Wilde
27
62 kg
1
60 kgJackson
7
63 kgDronova-Balabolina
8
63 kgBarbieri
9
55 kgPaladin
10
59 kgCordon-Ragot
11
60 kgDuval
12
53 kgBaker
13
66 kgCopponi
14
55 kgDideriksen
17
62 kgHenderson
18
58 kgKorevaar
20
59 kgSeitz
22
58 kgConsonni
24
59 kgHosking
25
60 kgKasper
26
59 kgDe Wilde
27
62 kg
Weight (KG) →
Result →
66
53
1
27
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
7 | JACKSON Alison | 63 |
8 | DRONOVA-BALABOLINA Tamara | 63 |
9 | BARBIERI Rachele | 55 |
10 | PALADIN Soraya | 59 |
11 | CORDON-RAGOT Audrey | 60 |
12 | DUVAL Eugénie | 53 |
13 | BAKER Georgia | 66 |
14 | COPPONI Clara | 55 |
17 | DIDERIKSEN Amalie | 62 |
18 | HENDERSON Anna | 58 |
20 | KOREVAAR Jeanne | 59 |
22 | SEITZ Aline | 58 |
24 | CONSONNI Chiara | 59 |
25 | HOSKING Chloe | 60 |
26 | KASPER Romy | 59 |
27 | DE WILDE Julie | 62 |