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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Wrubleski
1
55 kgHobson
2
55 kgBeveridge
7
55 kgNumainville
10
65 kgRoorda
16
70 kgCanuel
25
51 kg
1
55 kgHobson
2
55 kgBeveridge
7
55 kgNumainville
10
65 kgRoorda
16
70 kgCanuel
25
51 kg
Weight (KG) →
Result →
70
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WRUBLESKI Alex | 55 |
| 2 | HOBSON Leigh | 55 |
| 7 | BEVERIDGE Julie | 55 |
| 10 | NUMAINVILLE Joëlle | 65 |
| 16 | ROORDA Stephanie | 70 |
| 25 | CANUEL Karol-Ann | 51 |