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 = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Sefa
1
72 kgSartori
2
68 kgZambelli
3
70 kgBarać
10
73 kgBertone
16
64 kgVan Nuffelen
18
64 kgvan Empel
19
64 kgRinaldi
20
65 kgBaldo
21
64 kgSchönberger
22
64 kgFortunato
24
57 kgZandomeneghi
29
61 kgDubois
46
65 kgRazis
48
71 kgVelia
49
74 kgZhupa
53
78 kgBevilacqua
61
75 kgFerrari
62
64 kg
1
72 kgSartori
2
68 kgZambelli
3
70 kgBarać
10
73 kgBertone
16
64 kgVan Nuffelen
18
64 kgvan Empel
19
64 kgRinaldi
20
65 kgBaldo
21
64 kgSchönberger
22
64 kgFortunato
24
57 kgZandomeneghi
29
61 kgDubois
46
65 kgRazis
48
71 kgVelia
49
74 kgZhupa
53
78 kgBevilacqua
61
75 kgFerrari
62
64 kg
Weight (KG) →
Result →
78
57
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEFA Ylber | 72 |
| 2 | SARTORI Mirco | 68 |
| 3 | ZAMBELLI Samuele | 70 |
| 10 | BARAĆ Antonio | 73 |
| 16 | BERTONE Filippo | 64 |
| 18 | VAN NUFFELEN Glen | 64 |
| 19 | VAN EMPEL Etienne | 64 |
| 20 | RINALDI Nicholas | 65 |
| 21 | BALDO Mattia | 64 |
| 22 | SCHÖNBERGER Sebastian | 64 |
| 24 | FORTUNATO Lorenzo | 57 |
| 29 | ZANDOMENEGHI Simone | 61 |
| 46 | DUBOIS Foeke | 65 |
| 48 | RAZIS Haris | 71 |
| 49 | VELIA Olsian | 74 |
| 53 | ZHUPA Eugert | 78 |
| 61 | BEVILACQUA Simone | 75 |
| 62 | FERRARI Andrea | 64 |