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 = 1.2 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
van Bon
1
72 kgJang
2
64 kgFukushima
4
62 kgKhalmuratov
7
68 kgChoe
12
63 kgBeuchat
13
62 kgShimizu
14
60 kgFeng
18
68 kgJang
21
64 kgCrawford
26
59 kgRoe
27
66 kgVenter
28
70 kgPark
31
73 kgKannemeyer
32
67 kgPasseron
33
73 kgJanse van Rensburg
45
63 kgSeo
50
66 kgWong
77
65 kgFukuda
78
70 kgWestphal
80
75 kgTang
85
62 kg
1
72 kgJang
2
64 kgFukushima
4
62 kgKhalmuratov
7
68 kgChoe
12
63 kgBeuchat
13
62 kgShimizu
14
60 kgFeng
18
68 kgJang
21
64 kgCrawford
26
59 kgRoe
27
66 kgVenter
28
70 kgPark
31
73 kgKannemeyer
32
67 kgPasseron
33
73 kgJanse van Rensburg
45
63 kgSeo
50
66 kgWong
77
65 kgFukuda
78
70 kgWestphal
80
75 kgTang
85
62 kg
Weight (KG) →
Result →
75
59
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BON Léon | 72 |
| 2 | JANG Chan Jae | 64 |
| 4 | FUKUSHIMA Shinichi | 62 |
| 7 | KHALMURATOV Muradjan | 68 |
| 12 | CHOE Hyeong Min | 63 |
| 13 | BEUCHAT Roger | 62 |
| 14 | SHIMIZU Miyataka | 60 |
| 18 | FENG Chun Kai | 68 |
| 21 | JANG Kyung-Gu | 64 |
| 26 | CRAWFORD Jai | 59 |
| 27 | ROE Timothy | 66 |
| 28 | VENTER Jaco | 70 |
| 31 | PARK Sung Baek | 73 |
| 32 | KANNEMEYER Tiaan | 67 |
| 33 | PASSERON Aurélien | 73 |
| 45 | JANSE VAN RENSBURG Jacques | 63 |
| 50 | SEO Joon Yong | 66 |
| 77 | WONG Kam-Po | 65 |
| 78 | FUKUDA Shinpei | 70 |
| 80 | WESTPHAL Carlo | 75 |
| 85 | TANG Wang Yip | 62 |