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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bole
1
69 kgBonifazio
2
72 kgMizbani
5
67 kgClarke
7
81 kgToribio
8
64 kgCarthy
9
69 kgLebas
10
65 kgPrades
11
56 kgAbe
12
66 kgHatanaka
15
72 kgDoi
16
58 kgKolahdozhagh
18
60 kgMasuda
19
61 kgPalini
20
67 kgMonier
22
75 kgCrawford
23
59 kgConti
24
61 kgSuzuki
25
57 kgIribe
26
61 kgGarcía
27
68 kgNorris
29
67 kg
1
69 kgBonifazio
2
72 kgMizbani
5
67 kgClarke
7
81 kgToribio
8
64 kgCarthy
9
69 kgLebas
10
65 kgPrades
11
56 kgAbe
12
66 kgHatanaka
15
72 kgDoi
16
58 kgKolahdozhagh
18
60 kgMasuda
19
61 kgPalini
20
67 kgMonier
22
75 kgCrawford
23
59 kgConti
24
61 kgSuzuki
25
57 kgIribe
26
61 kgGarcía
27
68 kgNorris
29
67 kg
Weight (KG) →
Result →
81
56
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | BONIFAZIO Niccolò | 72 |
| 5 | MIZBANI Ghader | 67 |
| 7 | CLARKE Will | 81 |
| 8 | TORIBIO José Vicente | 64 |
| 9 | CARTHY Hugh | 69 |
| 10 | LEBAS Thomas | 65 |
| 11 | PRADES Benjamín | 56 |
| 12 | ABE Takayuki | 66 |
| 15 | HATANAKA Yusuke | 72 |
| 16 | DOI Yukihiro | 58 |
| 18 | KOLAHDOZHAGH Amir | 60 |
| 19 | MASUDA Nariyuki | 61 |
| 20 | PALINI Andrea | 67 |
| 22 | MONIER Damien | 75 |
| 23 | CRAWFORD Jai | 59 |
| 24 | CONTI Valerio | 61 |
| 25 | SUZUKI Yuzuru | 57 |
| 26 | IRIBE Shotaro | 61 |
| 27 | GARCÍA Ricardo | 68 |
| 29 | NORRIS Lachlan | 67 |