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 - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Ebsen
1
58 kgDebesay
3
64 kgFelipe
4
58 kgHiguita
5
57 kgMazuki
7
57 kgGibbons
8
70 kgJaramillo
10
63 kgParedes
11
66 kgCecchin
12
70 kgO'Connor
13
67 kgHarper
16
67 kgMat Amin
17
54 kgBernal
18
60 kgMasnada
19
65 kgRoe
20
66 kgJanse van Rensburg
22
63 kgOrjuela
24
60 kgMosca
25
65 kgNiyonshuti
26
63 kgRota
27
62 kgAyazbayev
28
75 kg
1
58 kgDebesay
3
64 kgFelipe
4
58 kgHiguita
5
57 kgMazuki
7
57 kgGibbons
8
70 kgJaramillo
10
63 kgParedes
11
66 kgCecchin
12
70 kgO'Connor
13
67 kgHarper
16
67 kgMat Amin
17
54 kgBernal
18
60 kgMasnada
19
65 kgRoe
20
66 kgJanse van Rensburg
22
63 kgOrjuela
24
60 kgMosca
25
65 kgNiyonshuti
26
63 kgRota
27
62 kgAyazbayev
28
75 kg
Weight (KG) →
Result →
75
54
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EBSEN John | 58 |
| 3 | DEBESAY Mekseb | 64 |
| 4 | FELIPE Marcelo | 58 |
| 5 | HIGUITA Sergio | 57 |
| 7 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 8 | GIBBONS Ryan | 70 |
| 10 | JARAMILLO Daniel | 63 |
| 11 | PAREDES Wilmar | 66 |
| 12 | CECCHIN Alberto | 70 |
| 13 | O'CONNOR Ben | 67 |
| 16 | HARPER Chris | 67 |
| 17 | MAT AMIN Mohd Shahrul | 54 |
| 18 | BERNAL Egan | 60 |
| 19 | MASNADA Fausto | 65 |
| 20 | ROE Timothy | 66 |
| 22 | JANSE VAN RENSBURG Jacques | 63 |
| 24 | ORJUELA Fernando | 60 |
| 25 | MOSCA Jacopo | 65 |
| 26 | NIYONSHUTI Adrien | 63 |
| 27 | ROTA Lorenzo | 62 |
| 28 | AYAZBAYEV Maxat | 75 |