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 + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Stoneham
1
67 kgVan den Broek
3
69 kgDe Bock
6
70 kgCrabbe
9
70 kgHawker
11
62 kgNisbet
13
60 kgVergouw
14
73 kgLightfoot
17
57 kgZomermaand
23
67 kgVanhuffel
29
57 kgPera
30
68 kgFiorin
35
76 kgMachin
36
75 kgDockx
37
61 kgVerstraete
38
59 kgGeerinck
39
67 kgGraff
40
68 kgHeymans
49
63 kgŁątkowski
53
68 kgBaert
78
70 kg
1
67 kgVan den Broek
3
69 kgDe Bock
6
70 kgCrabbe
9
70 kgHawker
11
62 kgNisbet
13
60 kgVergouw
14
73 kgLightfoot
17
57 kgZomermaand
23
67 kgVanhuffel
29
57 kgPera
30
68 kgFiorin
35
76 kgMachin
36
75 kgDockx
37
61 kgVerstraete
38
59 kgGeerinck
39
67 kgGraff
40
68 kgHeymans
49
63 kgŁątkowski
53
68 kgBaert
78
70 kg
Weight (KG) →
Result →
76
57
1
78
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STONEHAM Angus | 67 |
| 3 | VAN DEN BROEK Axel | 69 |
| 6 | DE BOCK Aless | 70 |
| 9 | CRABBE Tom | 70 |
| 11 | HAWKER Finlay | 62 |
| 13 | NISBET Cormac | 60 |
| 14 | VERGOUW Julian | 73 |
| 17 | LIGHTFOOT Mark | 57 |
| 23 | ZOMERMAAND Jurgen | 67 |
| 29 | VANHUFFEL Matteo | 57 |
| 30 | PERA Marceli | 68 |
| 35 | FIORIN Matteo | 76 |
| 36 | MACHIN Zak | 75 |
| 37 | DOCKX Gilles | 61 |
| 38 | VERSTRAETE Jenthe | 59 |
| 39 | GEERINCK Seppe | 67 |
| 40 | GRAFF William | 68 |
| 49 | HEYMANS Yarno | 63 |
| 53 | ŁĄTKOWSKI Dawid | 68 |
| 78 | BAERT Basiel | 70 |