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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Savitskiy
1
72 kgNikolaev
2
66 kgFirsanov
5
58 kgKuschynski
6
65 kgFoliforov
8
61 kgStachowiak
10
62 kgKritskiy
12
81 kgOvechkin
14
61 kgNych
15
74 kgLagkuti
16
68 kgGrigorev
18
73 kgStrokau
19
74 kgPrevar
20
64 kgBudyak
23
53 kgJaniaczyk
24
68 kgCherkasov
25
68 kgBanaszek
28
79 kgKurianov
30
74 kg
1
72 kgNikolaev
2
66 kgFirsanov
5
58 kgKuschynski
6
65 kgFoliforov
8
61 kgStachowiak
10
62 kgKritskiy
12
81 kgOvechkin
14
61 kgNych
15
74 kgLagkuti
16
68 kgGrigorev
18
73 kgStrokau
19
74 kgPrevar
20
64 kgBudyak
23
53 kgJaniaczyk
24
68 kgCherkasov
25
68 kgBanaszek
28
79 kgKurianov
30
74 kg
Weight (KG) →
Result →
81
53
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAVITSKIY Ivan | 72 |
| 2 | NIKOLAEV Sergey | 66 |
| 5 | FIRSANOV Sergey | 58 |
| 6 | KUSCHYNSKI Aleksandr | 65 |
| 8 | FOLIFOROV Alexander | 61 |
| 10 | STACHOWIAK Adam | 62 |
| 12 | KRITSKIY Timofey | 81 |
| 14 | OVECHKIN Artem | 61 |
| 15 | NYCH Artem | 74 |
| 16 | LAGKUTI Sergiy | 68 |
| 18 | GRIGOREV Aleksandr | 73 |
| 19 | STROKAU Vasili | 74 |
| 20 | PREVAR Oleksandr | 64 |
| 23 | BUDYAK Anatoliy | 53 |
| 24 | JANIACZYK Błażej | 68 |
| 25 | CHERKASOV Nikolay | 68 |
| 28 | BANASZEK Adrian | 79 |
| 30 | KURIANOV Stepan | 74 |