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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wrubleski
2
55 kgHobson
3
55 kgAbbott
8
52 kgBeveridge
10
55 kgThornburn
12
56 kg
2
55 kgHobson
3
55 kgAbbott
8
52 kgBeveridge
10
55 kgThornburn
12
56 kg
Weight (KG) →
Result →
56
52
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WRUBLESKI Alex | 55 |
| 3 | HOBSON Leigh | 55 |
| 8 | ABBOTT Mara | 52 |
| 10 | BEVERIDGE Julie | 55 |
| 12 | THORNBURN Christine | 56 |