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 = 4.3 * weight - 231
This means that on average for every extra kilogram weight a rider loses 4.3 positions in the result.
Abbott
1
52 kgThornburn
4
56 kgWrubleski
5
55 kgHobson
6
55 kgBeveridge
12
55 kgFahlin
46
63 kg
1
52 kgThornburn
4
56 kgWrubleski
5
55 kgHobson
6
55 kgBeveridge
12
55 kgFahlin
46
63 kg
Weight (KG) →
Result →
63
52
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABBOTT Mara | 52 |
| 4 | THORNBURN Christine | 56 |
| 5 | WRUBLESKI Alex | 55 |
| 6 | HOBSON Leigh | 55 |
| 12 | BEVERIDGE Julie | 55 |
| 46 | FAHLIN Emilia | 63 |