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 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Savitskiy
1
72 kgNikolaev
2
66 kgKuschynski
3
65 kgFirsanov
5
58 kgStachowiak
8
62 kgKritskiy
10
81 kgLagkuti
14
68 kgGrigorev
15
73 kgStrokau
16
74 kgPrevar
17
64 kgBudyak
20
53 kgJaniaczyk
21
68 kgBanaszek
23
79 kgFoliforov
24
61 kgCherkasov
26
68 kgOvechkin
27
61 kgKurianov
28
74 kg
1
72 kgNikolaev
2
66 kgKuschynski
3
65 kgFirsanov
5
58 kgStachowiak
8
62 kgKritskiy
10
81 kgLagkuti
14
68 kgGrigorev
15
73 kgStrokau
16
74 kgPrevar
17
64 kgBudyak
20
53 kgJaniaczyk
21
68 kgBanaszek
23
79 kgFoliforov
24
61 kgCherkasov
26
68 kgOvechkin
27
61 kgKurianov
28
74 kg
Weight (KG) →
Result →
81
53
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAVITSKIY Ivan | 72 |
| 2 | NIKOLAEV Sergey | 66 |
| 3 | KUSCHYNSKI Aleksandr | 65 |
| 5 | FIRSANOV Sergey | 58 |
| 8 | STACHOWIAK Adam | 62 |
| 10 | KRITSKIY Timofey | 81 |
| 14 | LAGKUTI Sergiy | 68 |
| 15 | GRIGOREV Aleksandr | 73 |
| 16 | STROKAU Vasili | 74 |
| 17 | PREVAR Oleksandr | 64 |
| 20 | BUDYAK Anatoliy | 53 |
| 21 | JANIACZYK Błażej | 68 |
| 23 | BANASZEK Adrian | 79 |
| 24 | FOLIFOROV Alexander | 61 |
| 26 | CHERKASOV Nikolay | 68 |
| 27 | OVECHKIN Artem | 61 |
| 28 | KURIANOV Stepan | 74 |