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.
Grosu
1
68 kgNizzolo
2
72 kgMinali
3
74 kgGuardini
4
66 kgBonifazio
5
72 kgJerman
7
67 kgKump
8
68 kgGidich
9
69 kgMohorič
10
71 kgLobato
11
64 kgStacchiotti
12
70 kgRumac
13
71 kgMurphy
14
81 kgEnger
15
69 kgGrošelj
16
70 kgZurlo
17
70 kgDuquennoy
18
75 kgHill
19
67 kgLastra
21
64 kgBrambilla
22
57 kgHorvat
23
70 kgCañaveral
24
60 kgSagiv
26
68 kg
1
68 kgNizzolo
2
72 kgMinali
3
74 kgGuardini
4
66 kgBonifazio
5
72 kgJerman
7
67 kgKump
8
68 kgGidich
9
69 kgMohorič
10
71 kgLobato
11
64 kgStacchiotti
12
70 kgRumac
13
71 kgMurphy
14
81 kgEnger
15
69 kgGrošelj
16
70 kgZurlo
17
70 kgDuquennoy
18
75 kgHill
19
67 kgLastra
21
64 kgBrambilla
22
57 kgHorvat
23
70 kgCañaveral
24
60 kgSagiv
26
68 kg
Weight (KG) →
Result →
81
57
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROSU Eduard-Michael | 68 |
| 2 | NIZZOLO Giacomo | 72 |
| 3 | MINALI Riccardo | 74 |
| 4 | GUARDINI Andrea | 66 |
| 5 | BONIFAZIO Niccolò | 72 |
| 7 | JERMAN Žiga | 67 |
| 8 | KUMP Marko | 68 |
| 9 | GIDICH Yevgeniy | 69 |
| 10 | MOHORIČ Matej | 71 |
| 11 | LOBATO Juan José | 64 |
| 12 | STACCHIOTTI Riccardo | 70 |
| 13 | RUMAC Josip | 71 |
| 14 | MURPHY John | 81 |
| 15 | ENGER Sondre Holst | 69 |
| 16 | GROŠELJ Matic | 70 |
| 17 | ZURLO Federico | 70 |
| 18 | DUQUENNOY Jimmy | 75 |
| 19 | HILL Benjamin | 67 |
| 21 | LASTRA Jonathan | 64 |
| 22 | BRAMBILLA Gianluca | 57 |
| 23 | HORVAT Žiga | 70 |
| 24 | CAÑAVERAL Johnatan | 60 |
| 26 | SAGIV Guy | 68 |