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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sagiv
1
68 kgNiv
2
58 kgLoginov
3
66 kgKogut
6
77 kgAbu-Fares
7
67 kgGoldstein
8
61 kgHalabi
10
66 kg
1
68 kgNiv
2
58 kgLoginov
3
66 kgKogut
6
77 kgAbu-Fares
7
67 kgGoldstein
8
61 kgHalabi
10
66 kg
Weight (KG) →
Result →
77
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGIV Guy | 68 |
| 2 | NIV Guy | 58 |
| 3 | LOGINOV Vladislav | 66 |
| 6 | KOGUT Oded | 77 |
| 7 | ABU-FARES Saned | 67 |
| 8 | GOLDSTEIN Edo | 61 |
| 10 | HALABI Shadi | 66 |