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 = -0.2 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Banaszek
1
75 kgKreder
2
70 kgSaleh
3
70 kgCarstensen
4
69 kgBogusławski
5
77 kgMonk
7
67 kgLakasek
9
71 kgTzortzakis
12
80 kgSirironnachai
15
61 kgMohd Zariff
19
63 kgFelipe
20
58 kgBurnett
22
71 kgPahlke
23
71 kgBogdanovičs
24
68 kgPawlak
27
81 kgLiphongyu
32
61 kgAhmad
34
66 kgBoonratanathanakorn
37
72 kgBanaszek
39
75 kg
1
75 kgKreder
2
70 kgSaleh
3
70 kgCarstensen
4
69 kgBogusławski
5
77 kgMonk
7
67 kgLakasek
9
71 kgTzortzakis
12
80 kgSirironnachai
15
61 kgMohd Zariff
19
63 kgFelipe
20
58 kgBurnett
22
71 kgPahlke
23
71 kgBogdanovičs
24
68 kgPawlak
27
81 kgLiphongyu
32
61 kgAhmad
34
66 kgBoonratanathanakorn
37
72 kgBanaszek
39
75 kg
Weight (KG) →
Result →
81
58
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BANASZEK Alan | 75 |
| 2 | KREDER Raymond | 70 |
| 3 | SALEH Mohd Harrif | 70 |
| 4 | CARSTENSEN Lucas | 69 |
| 5 | BOGUSŁAWSKI Marceli | 77 |
| 7 | MONK Cyrus | 67 |
| 9 | LAKASEK Irwandie | 71 |
| 12 | TZORTZAKIS Polychronis | 80 |
| 15 | SIRIRONNACHAI Sarawut | 61 |
| 19 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 20 | FELIPE Marcelo | 58 |
| 22 | BURNETT Marcus | 71 |
| 23 | PAHLKE Jasper Levi | 71 |
| 24 | BOGDANOVIČS Māris | 68 |
| 27 | PAWLAK Tobiasz | 81 |
| 32 | LIPHONGYU Navuti | 61 |
| 34 | AHMAD Muhammad Ameer | 66 |
| 37 | BOONRATANATHANAKORN Turakit | 72 |
| 39 | BANASZEK Norbert | 75 |