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 = -0.9 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Ahlsson
1
68 kgLudvigsson
2
76 kgForssell
3
86 kgBergström Frisk
5
70 kgLarsén
6
82 kgLindgren
9
72.5 kgSödergrann
13
80 kgHillerström Rundh
14
65 kgAnsari
16
71 kgKvist
18
72 kgSvensson
29
66 kgLord
36
74 kgAndersson
38
70 kgLjunggren
39
68 kgStålberg
41
78 kgRincon-Amat
45
67 kg
1
68 kgLudvigsson
2
76 kgForssell
3
86 kgBergström Frisk
5
70 kgLarsén
6
82 kgLindgren
9
72.5 kgSödergrann
13
80 kgHillerström Rundh
14
65 kgAnsari
16
71 kgKvist
18
72 kgSvensson
29
66 kgLord
36
74 kgAndersson
38
70 kgLjunggren
39
68 kgStålberg
41
78 kgRincon-Amat
45
67 kg
Weight (KG) →
Result →
86
65
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AHLSSON Jacob | 68 |
| 2 | LUDVIGSSON Tobias | 76 |
| 3 | FORSSELL Hugo | 86 |
| 5 | BERGSTRÖM FRISK Hannes | 70 |
| 6 | LARSÉN Richard | 82 |
| 9 | LINDGREN Emil | 72.5 |
| 13 | SÖDERGRANN Jakob | 80 |
| 14 | HILLERSTRÖM RUNDH Victor | 65 |
| 16 | ANSARI Amir Arsalan | 71 |
| 18 | KVIST Linus | 72 |
| 29 | SVENSSON Jesper | 66 |
| 36 | LORD Samuel | 74 |
| 38 | ANDERSSON Andreas | 70 |
| 39 | LJUNGGREN Carl | 68 |
| 41 | STÅLBERG Albin | 78 |
| 45 | RINCON-AMAT Salvador | 67 |