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 = -0.6 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Shpilevsky
1
78 kgWeylandt
2
72 kgLagutin
3
68 kgKozontchuk
4
75 kgPauwels
9
65 kgCaethoven
10
67 kg
1
78 kgWeylandt
2
72 kgLagutin
3
68 kgKozontchuk
4
75 kgPauwels
9
65 kgCaethoven
10
67 kg
Weight (KG) →
Result →
78
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 2 | WEYLANDT Wouter | 72 |
| 3 | LAGUTIN Sergey | 68 |
| 4 | KOZONTCHUK Dmitry | 75 |
| 9 | PAUWELS Serge | 65 |
| 10 | CAETHOVEN Steven | 67 |