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 = 0.7 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Sweet
1
69 kgWohlberg
4
63 kgMitchell
9
70 kgSuzuki
15
60 kgGates
34
71 kg
1
69 kgWohlberg
4
63 kgMitchell
9
70 kgSuzuki
15
60 kgGates
34
71 kg
Weight (KG) →
Result →
71
60
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 4 | WOHLBERG Eric | 63 |
| 9 | MITCHELL Glen | 70 |
| 15 | SUZUKI Shinri | 60 |
| 34 | GATES Nick | 71 |