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 = 1.4 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Zambelli
1
70 kgSartori
2
68 kgvan Empel
6
64 kgSefa
7
72 kgFortunato
9
57 kgBertone
10
64 kgBarać
14
73 kgRinaldi
17
65 kgSchönberger
20
64 kgZandomeneghi
24
61 kgVan Nuffelen
30
64 kgBaldo
35
64 kgDubois
47
65 kgRazis
48
71 kgVelia
49
74 kgZhupa
56
78 kgFerrari
59
64 kgBevilacqua
62
75 kg
1
70 kgSartori
2
68 kgvan Empel
6
64 kgSefa
7
72 kgFortunato
9
57 kgBertone
10
64 kgBarać
14
73 kgRinaldi
17
65 kgSchönberger
20
64 kgZandomeneghi
24
61 kgVan Nuffelen
30
64 kgBaldo
35
64 kgDubois
47
65 kgRazis
48
71 kgVelia
49
74 kgZhupa
56
78 kgFerrari
59
64 kgBevilacqua
62
75 kg
Weight (KG) →
Result →
78
57
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAMBELLI Samuele | 70 |
| 2 | SARTORI Mirco | 68 |
| 6 | VAN EMPEL Etienne | 64 |
| 7 | SEFA Ylber | 72 |
| 9 | FORTUNATO Lorenzo | 57 |
| 10 | BERTONE Filippo | 64 |
| 14 | BARAĆ Antonio | 73 |
| 17 | RINALDI Nicholas | 65 |
| 20 | SCHÖNBERGER Sebastian | 64 |
| 24 | ZANDOMENEGHI Simone | 61 |
| 30 | VAN NUFFELEN Glen | 64 |
| 35 | BALDO Mattia | 64 |
| 47 | DUBOIS Foeke | 65 |
| 48 | RAZIS Haris | 71 |
| 49 | VELIA Olsian | 74 |
| 56 | ZHUPA Eugert | 78 |
| 59 | FERRARI Andrea | 64 |
| 62 | BEVILACQUA Simone | 75 |