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 - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Faulkner
1
62 kgNeff
5
53 kgHenttala
12
58 kgJoncheray
15
55 kgIndergand
23
65 kg
1
62 kgNeff
5
53 kgHenttala
12
58 kgJoncheray
15
55 kgIndergand
23
65 kg
Weight (KG) →
Result →
65
53
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAULKNER Kristen | 62 |
| 5 | NEFF Jolanda | 53 |
| 12 | HENTTALA Lotta | 58 |
| 15 | JONCHERAY Victoire | 55 |
| 23 | INDERGAND Linda | 65 |