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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Rosskopf
1
74 kgPorte
2
62 kgArmirail
3
72 kgHolmes
4
67 kgBoaro
5
64 kgYates
6
58 kgJenner
7
64 kgSunderland
8
67 kgImpey
9
72 kgBennett
10
58 kgHamilton
11
71 kgPower
12
68 kgStorer
13
63 kgDrizners
14
70 kgArcas
15
68 kgGoldstein
16
61 kgNovak
17
70 kgUlissi
18
63 kgDennis
19
72 kgvan Baarle
20
78 kgPiccoli
21
65 kg
1
74 kgPorte
2
62 kgArmirail
3
72 kgHolmes
4
67 kgBoaro
5
64 kgYates
6
58 kgJenner
7
64 kgSunderland
8
67 kgImpey
9
72 kgBennett
10
58 kgHamilton
11
71 kgPower
12
68 kgStorer
13
63 kgDrizners
14
70 kgArcas
15
68 kgGoldstein
16
61 kgNovak
17
70 kgUlissi
18
63 kgDennis
19
72 kgvan Baarle
20
78 kgPiccoli
21
65 kg
Weight (KG) →
Result →
78
58
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSKOPF Joey | 74 |
| 2 | PORTE Richie | 62 |
| 3 | ARMIRAIL Bruno | 72 |
| 4 | HOLMES Matthew | 67 |
| 5 | BOARO Manuele | 64 |
| 6 | YATES Simon | 58 |
| 7 | JENNER Samuel | 64 |
| 8 | SUNDERLAND Dylan | 67 |
| 9 | IMPEY Daryl | 72 |
| 10 | BENNETT George | 58 |
| 11 | HAMILTON Lucas | 71 |
| 12 | POWER Robert | 68 |
| 13 | STORER Michael | 63 |
| 14 | DRIZNERS Jarrad | 70 |
| 15 | ARCAS Jorge | 68 |
| 16 | GOLDSTEIN Omer | 61 |
| 17 | NOVAK Domen | 70 |
| 18 | ULISSI Diego | 63 |
| 19 | DENNIS Rohan | 72 |
| 20 | VAN BAARLE Dylan | 78 |
| 21 | PICCOLI James | 65 |