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 + 30
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Guardini
1
66 kgIglinskiy
3
68 kgColbrelli
6
74 kgKreder
7
70 kgSaleh
8
70 kgGène
9
67 kgFukushima
10
62 kgSerpa
12
64 kgNishitani
16
62 kgGoesinnen
17
75 kgLapthorne
18
70 kgDelle Stelle
20
65 kgDyachenko
22
65 kgMizbani
23
67 kgReza
25
71 kgCanola
29
66 kgGonzález
31
55 kgJang
32
64 kgSaleh
33
58 kgSeo
34
66 kgHaghi
39
78 kgLewis
40
65 kgPelucchi
41
74 kg
1
66 kgIglinskiy
3
68 kgColbrelli
6
74 kgKreder
7
70 kgSaleh
8
70 kgGène
9
67 kgFukushima
10
62 kgSerpa
12
64 kgNishitani
16
62 kgGoesinnen
17
75 kgLapthorne
18
70 kgDelle Stelle
20
65 kgDyachenko
22
65 kgMizbani
23
67 kgReza
25
71 kgCanola
29
66 kgGonzález
31
55 kgJang
32
64 kgSaleh
33
58 kgSeo
34
66 kgHaghi
39
78 kgLewis
40
65 kgPelucchi
41
74 kg
Weight (KG) →
Result →
78
55
1
41
# | Rider | Weight (KG) |
---|---|---|
1 | GUARDINI Andrea | 66 |
3 | IGLINSKIY Valentin | 68 |
6 | COLBRELLI Sonny | 74 |
7 | KREDER Raymond | 70 |
8 | SALEH Mohd Harrif | 70 |
9 | GÈNE Yohann | 67 |
10 | FUKUSHIMA Shinichi | 62 |
12 | SERPA José Rodolfo | 64 |
16 | NISHITANI Taiji | 62 |
17 | GOESINNEN Floris | 75 |
18 | LAPTHORNE Darren | 70 |
20 | DELLE STELLE Christian | 65 |
22 | DYACHENKO Alexandr | 65 |
23 | MIZBANI Ghader | 67 |
25 | REZA Kévin | 71 |
29 | CANOLA Marco | 66 |
31 | GONZÁLEZ Freddy Excelino | 55 |
32 | JANG Chan Jae | 64 |
33 | SALEH Mohd Zamri | 58 |
34 | SEO Joon Yong | 66 |
39 | HAGHI Alireza | 78 |
40 | LEWIS Craig | 65 |
41 | PELUCCHI Matteo | 74 |