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 + 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Budyak
10
53 kgClark
11
68 kgCarman
16
66 kgLakasek
24
71 kgChaiyasombat
25
58 kgCahyadi
26
52 kgChawchiangkwang
29
64 kgKim
31
68 kgSirironnachai
44
61 kgDe Rossi
49
70 kgSu
50
64 kgFrancisco
54
62 kgEvans
59
63 kgKergozou De La Boessiere
60
74 kgMisbah
61
56 kgvan Engelen
70
51 kgCarstensen
71
69 kgSexton
72
71 kgTzortzakis
74
80 kgOthman
76
57 kgLiphongyu
78
61 kg
10
53 kgClark
11
68 kgCarman
16
66 kgLakasek
24
71 kgChaiyasombat
25
58 kgCahyadi
26
52 kgChawchiangkwang
29
64 kgKim
31
68 kgSirironnachai
44
61 kgDe Rossi
49
70 kgSu
50
64 kgFrancisco
54
62 kgEvans
59
63 kgKergozou De La Boessiere
60
74 kgMisbah
61
56 kgvan Engelen
70
51 kgCarstensen
71
69 kgSexton
72
71 kgTzortzakis
74
80 kgOthman
76
57 kgLiphongyu
78
61 kg
Weight (KG) →
Result →
80
51
10
78
# | Rider | Weight (KG) |
---|---|---|
10 | BUDYAK Anatoliy | 53 |
11 | CLARK Boris | 68 |
16 | CARMAN Ben | 66 |
24 | LAKASEK Irwandie | 71 |
25 | CHAIYASOMBAT Thanakhan | 58 |
26 | CAHYADI Aiman | 52 |
29 | CHAWCHIANGKWANG Peerapol | 64 |
31 | KIM Euro | 68 |
44 | SIRIRONNACHAI Sarawut | 61 |
49 | DE ROSSI Lucas | 70 |
50 | SU Haoyu | 64 |
54 | FRANCISCO Jude Gabriel | 62 |
59 | EVANS Alexander | 63 |
60 | KERGOZOU DE LA BOESSIERE Nick | 74 |
61 | MISBAH Muhsin Al Redha | 56 |
70 | VAN ENGELEN Adne | 51 |
71 | CARSTENSEN Lucas | 69 |
72 | SEXTON Tom | 71 |
74 | TZORTZAKIS Polychronis | 80 |
76 | OTHMAN Muhamad Afiq Husaine | 57 |
78 | LIPHONGYU Navuti | 61 |