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 + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lagutin
2
68 kgPate
4
73 kgFrischkorn
6
68 kgChadwick
7
75 kgRangel
13
63 kgPower
14
68 kg
2
68 kgPate
4
73 kgFrischkorn
6
68 kgChadwick
7
75 kgRangel
13
63 kgPower
14
68 kg
Weight (KG) →
Result →
75
63
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAGUTIN Sergey | 68 |
| 4 | PATE Danny | 73 |
| 6 | FRISCHKORN William | 68 |
| 7 | CHADWICK Glen Alan | 75 |
| 13 | RANGEL Hector Hugo | 63 |
| 14 | POWER Ciarán | 68 |