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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Novak
1
70 kgAmezawa
2
60 kgYamamoto
3
63 kgGarcía Cortina
4
77 kgMinato
5
62 kgSuzuki
6
58 kgHarper
8
67 kgOka
9
57 kgIshibashi
10
68 kgOkamoto
11
65 kgYokoyama
12
57 kgWatanabe
13
65 kgTakubo
14
57 kgInsausti
16
89 kgNishimura
17
59 kgPer
18
81 kgMagosaki
20
62 kgLavrič
22
64 kgArashiro
23
65 kgSajnok
26
75 kg
1
70 kgAmezawa
2
60 kgYamamoto
3
63 kgGarcía Cortina
4
77 kgMinato
5
62 kgSuzuki
6
58 kgHarper
8
67 kgOka
9
57 kgIshibashi
10
68 kgOkamoto
11
65 kgYokoyama
12
57 kgWatanabe
13
65 kgTakubo
14
57 kgInsausti
16
89 kgNishimura
17
59 kgPer
18
81 kgMagosaki
20
62 kgLavrič
22
64 kgArashiro
23
65 kgSajnok
26
75 kg
Weight (KG) →
Result →
89
57
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAK Domen | 70 |
| 2 | AMEZAWA Takeaki | 60 |
| 3 | YAMAMOTO Masaki | 63 |
| 4 | GARCÍA CORTINA Iván | 77 |
| 5 | MINATO Ryo | 62 |
| 6 | SUZUKI Ryu | 58 |
| 8 | HARPER Chris | 67 |
| 9 | OKA Atsushi | 57 |
| 10 | ISHIBASHI Manabu | 68 |
| 11 | OKAMOTO Hayato | 65 |
| 12 | YOKOYAMA Kota | 57 |
| 13 | WATANABE Shotaro | 65 |
| 14 | TAKUBO Kenji | 57 |
| 16 | INSAUSTI Jon Ander | 89 |
| 17 | NISHIMURA Hiroki | 59 |
| 18 | PER David | 81 |
| 20 | MAGOSAKI Daiki | 62 |
| 22 | LAVRIČ Martin | 64 |
| 23 | ARASHIRO Yudai | 65 |
| 26 | SAJNOK Szymon | 75 |