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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Osorio
1
62 kgDina
2
67 kgNibali
3
65 kgZardini
4
62 kgRubio
6
56 kgHonoré
7
68 kgHermans
8
72 kgFancellu
9
62 kgDima
10
73 kgSchultz
11
68 kgPiccoli
12
65 kgJorgenson
13
69 kgCarboni
14
61 kgGarrison
15
76 kgVingegaard
16
58 kgSepúlveda
17
59 kgFortunato
18
57 kgCañaveral
19
60 kgCavendish
20
70 kgNiv
21
58 kgBravo
22
61 kg
1
62 kgDina
2
67 kgNibali
3
65 kgZardini
4
62 kgRubio
6
56 kgHonoré
7
68 kgHermans
8
72 kgFancellu
9
62 kgDima
10
73 kgSchultz
11
68 kgPiccoli
12
65 kgJorgenson
13
69 kgCarboni
14
61 kgGarrison
15
76 kgVingegaard
16
58 kgSepúlveda
17
59 kgFortunato
18
57 kgCañaveral
19
60 kgCavendish
20
70 kgNiv
21
58 kgBravo
22
61 kg
Weight (KG) →
Result →
76
56
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSORIO Alejandro | 62 |
| 2 | DINA Márton | 67 |
| 3 | NIBALI Antonio | 65 |
| 4 | ZARDINI Edoardo | 62 |
| 6 | RUBIO Einer | 56 |
| 7 | HONORÉ Mikkel Frølich | 68 |
| 8 | HERMANS Ben | 72 |
| 9 | FANCELLU Alessandro | 62 |
| 10 | DIMA Emil | 73 |
| 11 | SCHULTZ Nick | 68 |
| 12 | PICCOLI James | 65 |
| 13 | JORGENSON Matteo | 69 |
| 14 | CARBONI Giovanni | 61 |
| 15 | GARRISON Ian | 76 |
| 16 | VINGEGAARD Jonas | 58 |
| 17 | SEPÚLVEDA Eduardo | 59 |
| 18 | FORTUNATO Lorenzo | 57 |
| 19 | CAÑAVERAL Johnatan | 60 |
| 20 | CAVENDISH Mark | 70 |
| 21 | NIV Guy | 58 |
| 22 | BRAVO Garikoitz | 61 |