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 = -0.5 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Ahlsson
1
68 kgSöderqvist
2
83 kgLovidius
5
70 kgLudvigsson
6
76 kgLychou
7
78 kgPedersen
10
61 kgForssell
12
86 kgLarsén
14
82 kgLovidius
16
68 kgHillerström Rundh
17
65 kgAnsari
19
71 kgRydergren
22
74 kgLarsson
23
73 kgWehlin
24
72 kgHendler
26
66 kgDahlblom
27
62 kgPersmeen
30
69 kgHoflund
33
68 kg
1
68 kgSöderqvist
2
83 kgLovidius
5
70 kgLudvigsson
6
76 kgLychou
7
78 kgPedersen
10
61 kgForssell
12
86 kgLarsén
14
82 kgLovidius
16
68 kgHillerström Rundh
17
65 kgAnsari
19
71 kgRydergren
22
74 kgLarsson
23
73 kgWehlin
24
72 kgHendler
26
66 kgDahlblom
27
62 kgPersmeen
30
69 kgHoflund
33
68 kg
Weight (KG) →
Result →
86
61
1
33
# | Rider | Weight (KG) |
---|---|---|
1 | AHLSSON Jacob | 68 |
2 | SÖDERQVIST Jakob | 83 |
5 | LOVIDIUS Edvin | 70 |
6 | LUDVIGSSON Tobias | 76 |
7 | LYCHOU Viktor | 78 |
10 | PEDERSEN Eric | 61 |
12 | FORSSELL Hugo | 86 |
14 | LARSÉN Richard | 82 |
16 | LOVIDIUS Gustav | 68 |
17 | HILLERSTRÖM RUNDH Victor | 65 |
19 | ANSARI Amir Arsalan | 71 |
22 | RYDERGREN Joel | 74 |
23 | LARSSON David | 73 |
24 | WEHLIN Marcus | 72 |
26 | HENDLER Benjamin | 66 |
27 | DAHLBLOM Acke | 62 |
30 | PERSMEEN Axel | 69 |
33 | HOFLUND Albin | 68 |