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 + 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Stolić
2
73 kgArvanitou
3
71 kgPiciu
4
64 kgMacleod
6
57 kgIlić
10
86 kgVăidian
11
67 kgButa
13
68 kgKarić
17
78 kgĐurić
18
79 kgBavec
20
68 kgLagab
23
63 kgLacaille
26
58 kgKato
27
77 kgMórocz
33
74 kgTalić
34
82 kgLucca
35
71 kgJolidon
41
71 kgStojnić
42
73 kgVučković
46
70 kgĆehajić
48
70 kgLazarević
55
70 kgKervadec
58
70 kg
2
73 kgArvanitou
3
71 kgPiciu
4
64 kgMacleod
6
57 kgIlić
10
86 kgVăidian
11
67 kgButa
13
68 kgKarić
17
78 kgĐurić
18
79 kgBavec
20
68 kgLagab
23
63 kgLacaille
26
58 kgKato
27
77 kgMórocz
33
74 kgTalić
34
82 kgLucca
35
71 kgJolidon
41
71 kgStojnić
42
73 kgVučković
46
70 kgĆehajić
48
70 kgLazarević
55
70 kgKervadec
58
70 kg
Weight (KG) →
Result →
86
57
2
58
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STOLIĆ Mihajlo | 73 |
| 3 | ARVANITOU Nikiforos | 71 |
| 4 | PICIU Mattew-Denis | 64 |
| 6 | MACLEOD Callum | 57 |
| 10 | ILIĆ Ognjen | 86 |
| 11 | VĂIDIAN Iustin-Ioan | 67 |
| 13 | BUTA Catalin | 68 |
| 17 | KARIĆ Vedad | 78 |
| 18 | ĐURIĆ Đorđe | 79 |
| 20 | BAVEC Timotej | 68 |
| 23 | LAGAB Azzedine | 63 |
| 26 | LACAILLE Charlie | 58 |
| 27 | KATO Cristian-Eduard | 77 |
| 33 | MÓROCZ Barnabás | 74 |
| 34 | TALIĆ Kadija | 82 |
| 35 | LUCCA Simone | 71 |
| 41 | JOLIDON Cédric | 71 |
| 42 | STOJNIĆ Veljko | 73 |
| 46 | VUČKOVIĆ Jovan | 70 |
| 48 | ĆEHAJIĆ Anes | 70 |
| 55 | LAZAREVIĆ Miloš | 70 |
| 58 | KERVADEC Stevan | 70 |