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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Firsanov
1
58 kgBazhkou
6
65 kgNikolaev
8
66 kgZemlyakov
9
70 kgOvechkin
10
61 kgBudiak
13
53 kgSavitskiy
14
72 kgCherkasov
15
68 kgKrivtsov
17
72 kgKurbatov
18
73 kgKritskiy
19
81 kgZakarin
20
65 kgShushemoin
21
62 kgVasilyev
22
70 kgSolomennikov
23
72 kgZhyhunou
24
72 kg
1
58 kgBazhkou
6
65 kgNikolaev
8
66 kgZemlyakov
9
70 kgOvechkin
10
61 kgBudiak
13
53 kgSavitskiy
14
72 kgCherkasov
15
68 kgKrivtsov
17
72 kgKurbatov
18
73 kgKritskiy
19
81 kgZakarin
20
65 kgShushemoin
21
62 kgVasilyev
22
70 kgSolomennikov
23
72 kgZhyhunou
24
72 kg
Weight (KG) →
Result →
81
53
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | FIRSANOV Sergey | 58 |
6 | BAZHKOU Stanislau | 65 |
8 | NIKOLAEV Sergey | 66 |
9 | ZEMLYAKOV Oleg | 70 |
10 | OVECHKIN Artem | 61 |
13 | BUDIAK Anatolii | 53 |
14 | SAVITSKIY Ivan | 72 |
15 | CHERKASOV Nikolay | 68 |
17 | KRIVTSOV Dmytro | 72 |
18 | KURBATOV Alexey | 73 |
19 | KRITSKIY Timofey | 81 |
20 | ZAKARIN Aydar | 65 |
21 | SHUSHEMOIN Alexandr | 62 |
22 | VASILYEV Maksym | 70 |
23 | SOLOMENNIKOV Andrei | 72 |
24 | ZHYHUNOU Dzmitry | 72 |