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 + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Kiryienka
1
69 kgBiałobłocki
2
79 kgLe Bon
3
70 kgRossetto
4
68 kgOliveira
5
67 kgMalori
7
68 kgWestmattelmann
8
75 kgPardini
9
68 kgCastroviejo
11
62 kgLatour
12
66 kgCordeel
13
80 kgLarsson
14
77 kgMolard
15
62 kgPérichon
16
69 kgGuillemois
17
66 kgTzortzakis
18
80 kgInsausti
19
89 kgBille
20
67 kgTxoperena
21
67 kgGouault
22
61 kgDemoitié
24
69 kgPlaza
25
77 kg
1
69 kgBiałobłocki
2
79 kgLe Bon
3
70 kgRossetto
4
68 kgOliveira
5
67 kgMalori
7
68 kgWestmattelmann
8
75 kgPardini
9
68 kgCastroviejo
11
62 kgLatour
12
66 kgCordeel
13
80 kgLarsson
14
77 kgMolard
15
62 kgPérichon
16
69 kgGuillemois
17
66 kgTzortzakis
18
80 kgInsausti
19
89 kgBille
20
67 kgTxoperena
21
67 kgGouault
22
61 kgDemoitié
24
69 kgPlaza
25
77 kg
Weight (KG) →
Result →
89
61
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | KIRYIENKA Vasil | 69 |
2 | BIAŁOBŁOCKI Marcin | 79 |
3 | LE BON Johan | 70 |
4 | ROSSETTO Stéphane | 68 |
5 | OLIVEIRA Nelson | 67 |
7 | MALORI Adriano | 68 |
8 | WESTMATTELMANN Daniel | 75 |
9 | PARDINI Olivier | 68 |
11 | CASTROVIEJO Jonathan | 62 |
12 | LATOUR Pierre | 66 |
13 | CORDEEL Sander | 80 |
14 | LARSSON Gustav Erik | 77 |
15 | MOLARD Rudy | 62 |
16 | PÉRICHON Pierre-Luc | 69 |
17 | GUILLEMOIS Romain | 66 |
18 | TZORTZAKIS Polychronis | 80 |
19 | INSAUSTI Jon Ander | 89 |
20 | BILLE Gaëtan | 67 |
21 | TXOPERENA Beñat | 67 |
22 | GOUAULT Pierre | 61 |
24 | DEMOITIÉ Antoine | 69 |
25 | PLAZA Rubén | 77 |