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 = -1.6 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Newton
1
69 kgPower
2
68 kgTanner
6
70 kgWinn
7
70 kgMcLeod
8
66 kgManning
15
76 kgTashiro
42
54 kg
1
69 kgPower
2
68 kgTanner
6
70 kgWinn
7
70 kgMcLeod
8
66 kgManning
15
76 kgTashiro
42
54 kg
Weight (KG) →
Result →
76
54
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 2 | POWER Ciarán | 68 |
| 6 | TANNER John | 70 |
| 7 | WINN Julian | 70 |
| 8 | MCLEOD Ian | 66 |
| 15 | MANNING Paul | 76 |
| 42 | TASHIRO Yasutaka | 54 |