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 + 109
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Boulahoite
1
75 kgSilva
10
69 kgHennequin
12
64 kgTagliani
16
70 kgDuval
23
67 kgBerhane
26
66 kgFrancisco
29
62 kgKhafi
32
65 kgKarić
34
78 kgPérez-Landaluce
40
70 kgGainza
47
65 kgMujika
50
60 kgBennett
53
58 kgStedman
56
54 kgAziz
63
64 kgKlopper
64
74 kgGaledo
66
58 kgÖzgür
70
75 kgVedel
71
57 kgWięczkowski
76
63 kgSoula
78
68 kgParashchak
81
66 kgGreen
85
70 kg
1
75 kgSilva
10
69 kgHennequin
12
64 kgTagliani
16
70 kgDuval
23
67 kgBerhane
26
66 kgFrancisco
29
62 kgKhafi
32
65 kgKarić
34
78 kgPérez-Landaluce
40
70 kgGainza
47
65 kgMujika
50
60 kgBennett
53
58 kgStedman
56
54 kgAziz
63
64 kgKlopper
64
74 kgGaledo
66
58 kgÖzgür
70
75 kgVedel
71
57 kgWięczkowski
76
63 kgSoula
78
68 kgParashchak
81
66 kgGreen
85
70 kg
Weight (KG) →
Result →
78
54
1
85
# | Rider | Weight (KG) |
---|---|---|
1 | BOULAHOITE Rayan | 75 |
10 | SILVA João | 69 |
12 | HENNEQUIN Paul | 64 |
16 | TAGLIANI Filippo | 70 |
23 | DUVAL Gwendy | 67 |
26 | BERHANE Natnael | 66 |
29 | FRANCISCO Jude Gabriel | 62 |
32 | KHAFI Oussama | 65 |
34 | KARIĆ Vedad | 78 |
40 | PÉREZ-LANDALUCE Eduardo | 70 |
47 | GAINZA Alejandro | 65 |
50 | MUJIKA Mikel | 60 |
53 | BENNETT Stéfan | 58 |
56 | STEDMAN Maximilian | 54 |
63 | AZIZ Mohab Youssef | 64 |
64 | KLOPPER Christiaan | 74 |
66 | GALEDO Mark John Lexer | 58 |
70 | ÖZGÜR Batuhan | 75 |
71 | VEDEL Gabin | 57 |
76 | WIĘCZKOWSKI Paweł | 63 |
78 | SOULA Guillaume | 68 |
81 | PARASHCHAK Yaroslav | 66 |
85 | GREEN Siméon | 70 |