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 - 32
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Bennett
1
58 kgRostovtsev
2
73 kgStedman
4
54 kgMayer
6
64 kgBudyak
7
53 kgReguigui
8
69 kgMeiser
14
70 kgRougier-Lagane
16
69 kgMuhoza
17
62 kgParashchak
19
66 kgCross
21
65 kgBerhane
23
66 kgLacaille
28
58 kgMayer
35
63 kgGreen
36
70 kgMat Amin
37
54 kgSoula
38
68 kgBrutyn
42
73 kgMatombé
44
63 kgLagab
46
63 kgPahlke
50
71 kgErnesta
61
70 kgDuval
70
67 kg
1
58 kgRostovtsev
2
73 kgStedman
4
54 kgMayer
6
64 kgBudyak
7
53 kgReguigui
8
69 kgMeiser
14
70 kgRougier-Lagane
16
69 kgMuhoza
17
62 kgParashchak
19
66 kgCross
21
65 kgBerhane
23
66 kgLacaille
28
58 kgMayer
35
63 kgGreen
36
70 kgMat Amin
37
54 kgSoula
38
68 kgBrutyn
42
73 kgMatombé
44
63 kgLagab
46
63 kgPahlke
50
71 kgErnesta
61
70 kgDuval
70
67 kg
Weight (KG) →
Result →
73
53
1
70
# | Rider | Weight (KG) |
---|---|---|
1 | BENNETT Stéfan | 58 |
2 | ROSTOVTSEV Sergey | 73 |
4 | STEDMAN Maximilian | 54 |
6 | MAYER Alexandre | 64 |
7 | BUDYAK Anatoliy | 53 |
8 | REGUIGUI Youcef | 69 |
14 | MEISER Philip | 70 |
16 | ROUGIER-LAGANE Christopher | 69 |
17 | MUHOZA Eric | 62 |
19 | PARASHCHAK Yaroslav | 66 |
21 | CROSS Eugene | 65 |
23 | BERHANE Natnael | 66 |
28 | LACAILLE Charlie | 58 |
35 | MAYER Gregory | 63 |
36 | GREEN Siméon | 70 |
37 | MAT AMIN Mohd Shahrul | 54 |
38 | SOULA Guillaume | 68 |
42 | BRUTYN Simon | 73 |
44 | MATOMBÉ Hanson | 63 |
46 | LAGAB Azzedine | 63 |
50 | PAHLKE Jasper Levi | 71 |
61 | ERNESTA Joseph Mario | 70 |
70 | DUVAL Gwendy | 67 |