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 + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sagiv
1
68 kgYechezkel
2
70 kgGoldstein
3
63 kgHadari
5
58 kgGoldstein
8
61 kgHalabi
13
66 kg
1
68 kgYechezkel
2
70 kgGoldstein
3
63 kgHadari
5
58 kgGoldstein
8
61 kgHalabi
13
66 kg
Weight (KG) →
Result →
70
58
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGIV Guy | 68 |
| 2 | YECHEZKEL Aviv | 70 |
| 3 | GOLDSTEIN Roy | 63 |
| 5 | HADARI Zohar | 58 |
| 8 | GOLDSTEIN Omer | 61 |
| 13 | HALABI Shadi | 66 |