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 = 0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Calcagni
1
65 kgYates
7
73 kgDavis
9
73 kgDavis
13
60 kgZucconi
14
63 kgMiller
17
72 kgTashiro
19
54 kgCappelle
20
71 kgFukushima
24
62 kgGerrans
25
62 kgMiura
27
67 kgGuyton
28
74 kgLupeikis
30
80 kgSuzuki
31
60 kgApollonio
38
70 kgAbe
47
67 kgReid
48
62 kgMiyazawa
58
61 kgFujino
78
63 kgBrown
81
76 kg
1
65 kgYates
7
73 kgDavis
9
73 kgDavis
13
60 kgZucconi
14
63 kgMiller
17
72 kgTashiro
19
54 kgCappelle
20
71 kgFukushima
24
62 kgGerrans
25
62 kgMiura
27
67 kgGuyton
28
74 kgLupeikis
30
80 kgSuzuki
31
60 kgApollonio
38
70 kgAbe
47
67 kgReid
48
62 kgMiyazawa
58
61 kgFujino
78
63 kgBrown
81
76 kg
Weight (KG) →
Result →
80
54
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CALCAGNI Patrick | 65 |
| 7 | YATES Jeremy | 73 |
| 9 | DAVIS Allan | 73 |
| 13 | DAVIS Scott | 60 |
| 14 | ZUCCONI Pietro | 63 |
| 17 | MILLER Graeme | 72 |
| 19 | TASHIRO Yasutaka | 54 |
| 20 | CAPPELLE Andy | 71 |
| 24 | FUKUSHIMA Shinichi | 62 |
| 25 | GERRANS Simon | 62 |
| 27 | MIURA Kyoshi | 67 |
| 28 | GUYTON Scott | 74 |
| 30 | LUPEIKIS Remigius | 80 |
| 31 | SUZUKI Shinri | 60 |
| 38 | APOLLONIO Massimo | 70 |
| 47 | ABE Yoshiyuki | 67 |
| 48 | REID Robin | 62 |
| 58 | MIYAZAWA Takashi | 61 |
| 78 | FUJINO Tomokazu | 63 |
| 81 | BROWN Graeme Allen | 76 |