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 - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bazhkou
1
65 kgPapok
2
76 kgPalini
3
67 kgAberasturi
4
69 kgJelloul
5
58 kgTybor
6
72 kgOkubamariam
8
60 kgGuardiola
9
65 kgMancebo
10
64 kgMat Amin
13
54 kgJules
14
64 kgMasson
22
68 kgAfewerki
24
63 kgHaddi
27
63 kgJovanović
29
60 kgAsadov
31
77 kgHirai
32
63 kgBreyne
36
83 kg
1
65 kgPapok
2
76 kgPalini
3
67 kgAberasturi
4
69 kgJelloul
5
58 kgTybor
6
72 kgOkubamariam
8
60 kgGuardiola
9
65 kgMancebo
10
64 kgMat Amin
13
54 kgJules
14
64 kgMasson
22
68 kgAfewerki
24
63 kgHaddi
27
63 kgJovanović
29
60 kgAsadov
31
77 kgHirai
32
63 kgBreyne
36
83 kg
Weight (KG) →
Result →
83
54
1
36
# | Rider | Weight (KG) |
---|---|---|
1 | BAZHKOU Stanislau | 65 |
2 | PAPOK Siarhei | 76 |
3 | PALINI Andrea | 67 |
4 | ABERASTURI Jon | 69 |
5 | JELLOUL Adil | 58 |
6 | TYBOR Patrik | 72 |
8 | OKUBAMARIAM Tesfom | 60 |
9 | GUARDIOLA Salvador | 65 |
10 | MANCEBO Francisco | 64 |
13 | MAT AMIN Mohd Shahrul | 54 |
14 | JULES Justin | 64 |
22 | MASSON Christophe | 68 |
24 | AFEWERKI Elyas | 63 |
27 | HADDI Soufiane | 63 |
29 | JOVANOVIĆ Nebojša | 60 |
31 | ASADOV Elchin | 77 |
32 | HIRAI Eiichi | 63 |
36 | BREYNE Jonathan | 83 |