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 = 0.3 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Brown
3
76 kgApollonio
6
70 kgMiller
10
72 kgMiura
12
67 kgMiyazawa
13
61 kgZucconi
16
63 kgDavis
19
60 kgSuzuki
20
60 kgTashiro
25
54 kgFukushima
26
62 kgCappelle
32
71 kgAbe
36
67 kgDavis
38
73 kgGerrans
42
62 kgYates
43
73 kgGuyton
50
74 kgCalcagni
57
65 kgLupeikis
64
80 kgReid
65
62 kgFujino
72
63 kg
3
76 kgApollonio
6
70 kgMiller
10
72 kgMiura
12
67 kgMiyazawa
13
61 kgZucconi
16
63 kgDavis
19
60 kgSuzuki
20
60 kgTashiro
25
54 kgFukushima
26
62 kgCappelle
32
71 kgAbe
36
67 kgDavis
38
73 kgGerrans
42
62 kgYates
43
73 kgGuyton
50
74 kgCalcagni
57
65 kgLupeikis
64
80 kgReid
65
62 kgFujino
72
63 kg
Weight (KG) →
Result →
80
54
3
72
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BROWN Graeme Allen | 76 |
| 6 | APOLLONIO Massimo | 70 |
| 10 | MILLER Graeme | 72 |
| 12 | MIURA Kyoshi | 67 |
| 13 | MIYAZAWA Takashi | 61 |
| 16 | ZUCCONI Pietro | 63 |
| 19 | DAVIS Scott | 60 |
| 20 | SUZUKI Shinri | 60 |
| 25 | TASHIRO Yasutaka | 54 |
| 26 | FUKUSHIMA Shinichi | 62 |
| 32 | CAPPELLE Andy | 71 |
| 36 | ABE Yoshiyuki | 67 |
| 38 | DAVIS Allan | 73 |
| 42 | GERRANS Simon | 62 |
| 43 | YATES Jeremy | 73 |
| 50 | GUYTON Scott | 74 |
| 57 | CALCAGNI Patrick | 65 |
| 64 | LUPEIKIS Remigius | 80 |
| 65 | REID Robin | 62 |
| 72 | FUJINO Tomokazu | 63 |