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 + 14
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sagiv
1
68 kgGoldstein
2
61 kgNiv
3
58 kgGoldstein
4
61 kgGoldstein
5
63 kg
1
68 kgGoldstein
2
61 kgNiv
3
58 kgGoldstein
4
61 kgGoldstein
5
63 kg
Weight (KG) →
Result →
68
58
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGIV Guy | 68 |
| 2 | GOLDSTEIN Omer | 61 |
| 3 | NIV Guy | 58 |
| 4 | GOLDSTEIN Edo | 61 |
| 5 | GOLDSTEIN Roy | 63 |