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 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Sefa
1
72 kgSartori
2
68 kgZambelli
4
70 kgBarać
10
73 kgVan Nuffelen
16
64 kgVelia
17
74 kgBaldo
19
64 kgDubois
22
65 kgRazis
25
71 kgBertone
31
64 kgRinaldi
34
65 kgSchönberger
35
64 kgZhupa
39
78 kgvan Empel
45
64 kgFortunato
47
57 kgZandomeneghi
50
61 kgBevilacqua
63
75 kgFerrari
66
64 kg
1
72 kgSartori
2
68 kgZambelli
4
70 kgBarać
10
73 kgVan Nuffelen
16
64 kgVelia
17
74 kgBaldo
19
64 kgDubois
22
65 kgRazis
25
71 kgBertone
31
64 kgRinaldi
34
65 kgSchönberger
35
64 kgZhupa
39
78 kgvan Empel
45
64 kgFortunato
47
57 kgZandomeneghi
50
61 kgBevilacqua
63
75 kgFerrari
66
64 kg
Weight (KG) →
Result →
78
57
1
66
# | Rider | Weight (KG) |
---|---|---|
1 | SEFA Ylber | 72 |
2 | SARTORI Mirco | 68 |
4 | ZAMBELLI Samuele | 70 |
10 | BARAĆ Antonio | 73 |
16 | VAN NUFFELEN Glen | 64 |
17 | VELIA Olsian | 74 |
19 | BALDO Mattia | 64 |
22 | DUBOIS Foeke | 65 |
25 | RAZIS Haris | 71 |
31 | BERTONE Filippo | 64 |
34 | RINALDI Nicholas | 65 |
35 | SCHÖNBERGER Sebastian | 64 |
39 | ZHUPA Eugert | 78 |
45 | VAN EMPEL Etienne | 64 |
47 | FORTUNATO Lorenzo | 57 |
50 | ZANDOMENEGHI Simone | 61 |
63 | BEVILACQUA Simone | 75 |
66 | FERRARI Andrea | 64 |