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 = 1.3 * weight - 64
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Wrubleski
1
55 kgAbbott
2
52 kgHobson
4
55 kgThornburn
8
56 kgBeveridge
9
55 kg
1
55 kgAbbott
2
52 kgHobson
4
55 kgThornburn
8
56 kgBeveridge
9
55 kg
Weight (KG) →
Result →
56
52
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WRUBLESKI Alex | 55 |
| 2 | ABBOTT Mara | 52 |
| 4 | HOBSON Leigh | 55 |
| 8 | THORNBURN Christine | 56 |
| 9 | BEVERIDGE Julie | 55 |