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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Numainville
1
65 kgWhitten
2
67 kgKirchmann
7
59 kgBeveridge
9
55 kgCanuel
12
51 kgRamsden
15
62 kgRoorda
25
70 kg
1
65 kgWhitten
2
67 kgKirchmann
7
59 kgBeveridge
9
55 kgCanuel
12
51 kgRamsden
15
62 kgRoorda
25
70 kg
Weight (KG) →
Result →
70
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NUMAINVILLE Joëlle | 65 |
| 2 | WHITTEN Tara | 67 |
| 7 | KIRCHMANN Leah | 59 |
| 9 | BEVERIDGE Julie | 55 |
| 12 | CANUEL Karol-Ann | 51 |
| 15 | RAMSDEN Denise | 62 |
| 25 | ROORDA Stephanie | 70 |