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 = -0.4 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Khafi
1
65 kgHennequin
5
64 kgTagliani
7
70 kgKarić
17
78 kgSilva
20
69 kgBerhane
22
66 kgPérez-Landaluce
38
70 kgBoulahoite
39
75 kgDuval
40
67 kgMujika
43
60 kgAziz
45
64 kgBennett
49
58 kgStedman
55
54 kgGaledo
60
58 kgFrancisco
61
62 kgVedel
67
57 kgParashchak
70
66 kgGainza
75
65 kgWięczkowski
77
63 kgÖzgür
78
75 kgGreen
80
70 kgSoula
83
68 kgKlopper
86
74 kg
1
65 kgHennequin
5
64 kgTagliani
7
70 kgKarić
17
78 kgSilva
20
69 kgBerhane
22
66 kgPérez-Landaluce
38
70 kgBoulahoite
39
75 kgDuval
40
67 kgMujika
43
60 kgAziz
45
64 kgBennett
49
58 kgStedman
55
54 kgGaledo
60
58 kgFrancisco
61
62 kgVedel
67
57 kgParashchak
70
66 kgGainza
75
65 kgWięczkowski
77
63 kgÖzgür
78
75 kgGreen
80
70 kgSoula
83
68 kgKlopper
86
74 kg
Weight (KG) →
Result →
78
54
1
86
# | Rider | Weight (KG) |
---|---|---|
1 | KHAFI Oussama | 65 |
5 | HENNEQUIN Paul | 64 |
7 | TAGLIANI Filippo | 70 |
17 | KARIĆ Vedad | 78 |
20 | SILVA João | 69 |
22 | BERHANE Natnael | 66 |
38 | PÉREZ-LANDALUCE Eduardo | 70 |
39 | BOULAHOITE Rayan | 75 |
40 | DUVAL Gwendy | 67 |
43 | MUJIKA Mikel | 60 |
45 | AZIZ Mohab Youssef | 64 |
49 | BENNETT Stéfan | 58 |
55 | STEDMAN Maximilian | 54 |
60 | GALEDO Mark John Lexer | 58 |
61 | FRANCISCO Jude Gabriel | 62 |
67 | VEDEL Gabin | 57 |
70 | PARASHCHAK Yaroslav | 66 |
75 | GAINZA Alejandro | 65 |
77 | WIĘCZKOWSKI Paweł | 63 |
78 | ÖZGÜR Batuhan | 75 |
80 | GREEN Siméon | 70 |
83 | SOULA Guillaume | 68 |
86 | KLOPPER Christiaan | 74 |