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 + 71
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Schulze
2
70 kgKemps
3
73 kgMifune
13
70 kgSuzuki
14
60 kgSulzberger
16
67 kgAbe
18
67 kgMiura
19
67 kgMizbani
30
67 kgFukushima
35
62 kgKazemi
42
71 kgChadwick
43
75 kgChan
45
70 kgNishitani
54
62 kgWieditz
62
78 kgWu
67
68 kgTashiro
68
54 kgde Jonge
75
65 kgRoth
78
70 kg
2
70 kgKemps
3
73 kgMifune
13
70 kgSuzuki
14
60 kgSulzberger
16
67 kgAbe
18
67 kgMiura
19
67 kgMizbani
30
67 kgFukushima
35
62 kgKazemi
42
71 kgChadwick
43
75 kgChan
45
70 kgNishitani
54
62 kgWieditz
62
78 kgWu
67
68 kgTashiro
68
54 kgde Jonge
75
65 kgRoth
78
70 kg
Weight (KG) →
Result →
78
54
2
78
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHULZE André | 70 |
| 3 | KEMPS Aaron | 73 |
| 13 | MIFUNE Masahiko | 70 |
| 14 | SUZUKI Shinri | 60 |
| 16 | SULZBERGER Bernard | 67 |
| 18 | ABE Yoshiyuki | 67 |
| 19 | MIURA Kyoshi | 67 |
| 30 | MIZBANI Ghader | 67 |
| 35 | FUKUSHIMA Shinichi | 62 |
| 42 | KAZEMI Sarai Ahad | 71 |
| 43 | CHADWICK Glen Alan | 75 |
| 45 | CHAN Chun Hing | 70 |
| 54 | NISHITANI Taiji | 62 |
| 62 | WIEDITZ Thorben | 78 |
| 67 | WU Kin San | 68 |
| 68 | TASHIRO Yasutaka | 54 |
| 75 | DE JONGE Maarten | 65 |
| 78 | ROTH Ryan | 70 |