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 + 88
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Miyazawa
2
61 kgDempster
4
77 kgvan Bon
5
72 kgSuzuki
6
60 kgGourov
7
75 kgFukushima
13
62 kgChmielewski
14
72 kgMifune
15
70 kgNishitani
16
62 kgArashiro
19
64 kgPark
24
73 kgAbe
25
67 kgCrawford
32
59 kgMeyer
33
70 kgSano
35
76 kgWitecki
36
70 kgSulzberger
44
65 kgGeorges
54
69 kgDoi
56
58 kgClarke
64
63 kgMukaigawa
65
64 kgPawlak
66
73 kgShimizu
68
60 kg
2
61 kgDempster
4
77 kgvan Bon
5
72 kgSuzuki
6
60 kgGourov
7
75 kgFukushima
13
62 kgChmielewski
14
72 kgMifune
15
70 kgNishitani
16
62 kgArashiro
19
64 kgPark
24
73 kgAbe
25
67 kgCrawford
32
59 kgMeyer
33
70 kgSano
35
76 kgWitecki
36
70 kgSulzberger
44
65 kgGeorges
54
69 kgDoi
56
58 kgClarke
64
63 kgMukaigawa
65
64 kgPawlak
66
73 kgShimizu
68
60 kg
Weight (KG) →
Result →
77
58
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MIYAZAWA Takashi | 61 |
| 4 | DEMPSTER Zak | 77 |
| 5 | VAN BON Léon | 72 |
| 6 | SUZUKI Shinri | 60 |
| 7 | GOUROV Maxim | 75 |
| 13 | FUKUSHIMA Shinichi | 62 |
| 14 | CHMIELEWSKI Piotr | 72 |
| 15 | MIFUNE Masahiko | 70 |
| 16 | NISHITANI Taiji | 62 |
| 19 | ARASHIRO Yukiya | 64 |
| 24 | PARK Sung Baek | 73 |
| 25 | ABE Yoshiyuki | 67 |
| 32 | CRAWFORD Jai | 59 |
| 33 | MEYER Cameron | 70 |
| 35 | SANO Junya | 76 |
| 36 | WITECKI Mariusz | 70 |
| 44 | SULZBERGER Wesley | 65 |
| 54 | GEORGES Sylvain | 69 |
| 56 | DOI Yukihiro | 58 |
| 64 | CLARKE Simon | 63 |
| 65 | MUKAIGAWA Naoki | 64 |
| 66 | PAWLAK Wojciech | 73 |
| 68 | SHIMIZU Miyataka | 60 |