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 + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Stolić
1
73 kgPiciu
3
64 kgMacleod
7
57 kgArvanitou
8
71 kgIlić
12
86 kgVăidian
13
67 kgButa
17
68 kgKato
19
77 kgKarić
22
78 kgĐurić
23
79 kgBavec
24
68 kgLagab
25
63 kgTalić
26
82 kgLacaille
27
58 kgKervadec
37
70 kgMórocz
39
74 kgLucca
41
71 kgĆehajić
45
70 kgLazarević
46
70 kgJolidon
51
71 kgStojnić
52
73 kgVučković
58
70 kg
1
73 kgPiciu
3
64 kgMacleod
7
57 kgArvanitou
8
71 kgIlić
12
86 kgVăidian
13
67 kgButa
17
68 kgKato
19
77 kgKarić
22
78 kgĐurić
23
79 kgBavec
24
68 kgLagab
25
63 kgTalić
26
82 kgLacaille
27
58 kgKervadec
37
70 kgMórocz
39
74 kgLucca
41
71 kgĆehajić
45
70 kgLazarević
46
70 kgJolidon
51
71 kgStojnić
52
73 kgVučković
58
70 kg
Weight (KG) →
Result →
86
57
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOLIĆ Mihajlo | 73 |
| 3 | PICIU Mattew-Denis | 64 |
| 7 | MACLEOD Callum | 57 |
| 8 | ARVANITOU Nikiforos | 71 |
| 12 | ILIĆ Ognjen | 86 |
| 13 | VĂIDIAN Iustin-Ioan | 67 |
| 17 | BUTA Catalin | 68 |
| 19 | KATO Cristian-Eduard | 77 |
| 22 | KARIĆ Vedad | 78 |
| 23 | ĐURIĆ Đorđe | 79 |
| 24 | BAVEC Timotej | 68 |
| 25 | LAGAB Azzedine | 63 |
| 26 | TALIĆ Kadija | 82 |
| 27 | LACAILLE Charlie | 58 |
| 37 | KERVADEC Stevan | 70 |
| 39 | MÓROCZ Barnabás | 74 |
| 41 | LUCCA Simone | 71 |
| 45 | ĆEHAJIĆ Anes | 70 |
| 46 | LAZAREVIĆ Miloš | 70 |
| 51 | JOLIDON Cédric | 71 |
| 52 | STOJNIĆ Veljko | 73 |
| 58 | VUČKOVIĆ Jovan | 70 |