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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Baldo
2
64 kgBevilacqua
3
75 kgZambelli
11
70 kgSefa
13
72 kgVan Nuffelen
15
64 kgFerrari
19
64 kgvan Empel
21
64 kgVelia
22
74 kgBarać
23
73 kgSartori
25
68 kgBertone
27
64 kgFortunato
28
57 kgDubois
34
65 kgSchönberger
37
64 kgRinaldi
38
65 kgZandomeneghi
41
61 kgZhupa
60
78 kgRazis
62
71 kg
2
64 kgBevilacqua
3
75 kgZambelli
11
70 kgSefa
13
72 kgVan Nuffelen
15
64 kgFerrari
19
64 kgvan Empel
21
64 kgVelia
22
74 kgBarać
23
73 kgSartori
25
68 kgBertone
27
64 kgFortunato
28
57 kgDubois
34
65 kgSchönberger
37
64 kgRinaldi
38
65 kgZandomeneghi
41
61 kgZhupa
60
78 kgRazis
62
71 kg
Weight (KG) →
Result →
78
57
2
62
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BALDO Mattia | 64 |
| 3 | BEVILACQUA Simone | 75 |
| 11 | ZAMBELLI Samuele | 70 |
| 13 | SEFA Ylber | 72 |
| 15 | VAN NUFFELEN Glen | 64 |
| 19 | FERRARI Andrea | 64 |
| 21 | VAN EMPEL Etienne | 64 |
| 22 | VELIA Olsian | 74 |
| 23 | BARAĆ Antonio | 73 |
| 25 | SARTORI Mirco | 68 |
| 27 | BERTONE Filippo | 64 |
| 28 | FORTUNATO Lorenzo | 57 |
| 34 | DUBOIS Foeke | 65 |
| 37 | SCHÖNBERGER Sebastian | 64 |
| 38 | RINALDI Nicholas | 65 |
| 41 | ZANDOMENEGHI Simone | 61 |
| 60 | ZHUPA Eugert | 78 |
| 62 | RAZIS Haris | 71 |