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 = -1.9 * weight + 153
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Roe
1
66 kgWong
2
65 kgPark
3
73 kgWestphal
4
75 kgvan Bon
6
72 kgChoe
7
63 kgPasseron
9
73 kgTang
10
62 kgFukushima
12
62 kgShimizu
14
60 kgSeo
15
66 kgJang
17
64 kgFukuda
37
70 kgBeuchat
40
62 kgFeng
42
68 kgCrawford
47
59 kgJanse van Rensburg
52
63 kgJang
54
64 kgVenter
59
70 kgUchima
61
63 kgKhalmuratov
64
68 kgKannemeyer
66
67 kgMat Amin
82
54 kg
1
66 kgWong
2
65 kgPark
3
73 kgWestphal
4
75 kgvan Bon
6
72 kgChoe
7
63 kgPasseron
9
73 kgTang
10
62 kgFukushima
12
62 kgShimizu
14
60 kgSeo
15
66 kgJang
17
64 kgFukuda
37
70 kgBeuchat
40
62 kgFeng
42
68 kgCrawford
47
59 kgJanse van Rensburg
52
63 kgJang
54
64 kgVenter
59
70 kgUchima
61
63 kgKhalmuratov
64
68 kgKannemeyer
66
67 kgMat Amin
82
54 kg
Weight (KG) →
Result →
75
54
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROE Timothy | 66 |
| 2 | WONG Kam-Po | 65 |
| 3 | PARK Sung Baek | 73 |
| 4 | WESTPHAL Carlo | 75 |
| 6 | VAN BON Léon | 72 |
| 7 | CHOE Hyeong Min | 63 |
| 9 | PASSERON Aurélien | 73 |
| 10 | TANG Wang Yip | 62 |
| 12 | FUKUSHIMA Shinichi | 62 |
| 14 | SHIMIZU Miyataka | 60 |
| 15 | SEO Joon Yong | 66 |
| 17 | JANG Chan Jae | 64 |
| 37 | FUKUDA Shinpei | 70 |
| 40 | BEUCHAT Roger | 62 |
| 42 | FENG Chun Kai | 68 |
| 47 | CRAWFORD Jai | 59 |
| 52 | JANSE VAN RENSBURG Jacques | 63 |
| 54 | JANG Kyung-Gu | 64 |
| 59 | VENTER Jaco | 70 |
| 61 | UCHIMA Kohei | 63 |
| 64 | KHALMURATOV Muradjan | 68 |
| 66 | KANNEMEYER Tiaan | 67 |
| 82 | MAT AMIN Mohd Shahrul | 54 |