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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Suzuki
1
60 kgWong
2
65 kgBelohvoščiks
3
70 kgDuma
4
64 kgArashiro
6
64 kgVelits
7
70 kgLloyd
8
62 kgMizurov
9
68 kgMiyazawa
11
61 kgDyachenko
12
65 kgDoi
15
58 kgVelits
17
63 kgTashiro
18
54 kgVervecken
20
78 kgPauwels
23
60 kgSano
26
76 kgŠtybar
29
68 kgAugustyn
30
65 kgMifune
32
70 kg
1
60 kgWong
2
65 kgBelohvoščiks
3
70 kgDuma
4
64 kgArashiro
6
64 kgVelits
7
70 kgLloyd
8
62 kgMizurov
9
68 kgMiyazawa
11
61 kgDyachenko
12
65 kgDoi
15
58 kgVelits
17
63 kgTashiro
18
54 kgVervecken
20
78 kgPauwels
23
60 kgSano
26
76 kgŠtybar
29
68 kgAugustyn
30
65 kgMifune
32
70 kg
Weight (KG) →
Result →
78
54
1
32
# | Rider | Weight (KG) |
---|---|---|
1 | SUZUKI Shinri | 60 |
2 | WONG Kam-Po | 65 |
3 | BELOHVOŠČIKS Raivis | 70 |
4 | DUMA Vladimir | 64 |
6 | ARASHIRO Yukiya | 64 |
7 | VELITS Martin | 70 |
8 | LLOYD Matthew | 62 |
9 | MIZUROV Andrey | 68 |
11 | MIYAZAWA Takashi | 61 |
12 | DYACHENKO Alexandr | 65 |
15 | DOI Yukihiro | 58 |
17 | VELITS Peter | 63 |
18 | TASHIRO Yasutaka | 54 |
20 | VERVECKEN Erwin | 78 |
23 | PAUWELS Kevin | 60 |
26 | SANO Junya | 76 |
29 | ŠTYBAR Zdeněk | 68 |
30 | AUGUSTYN John-Lee | 65 |
32 | MIFUNE Masahiko | 70 |