The table gives 6 paired observations of x = load in kN and y = extension in mm. Use the least-squares line ŷ = a + b·x. Find the intercept a.
Linear regression & correlation worksheet with answers
The table gives 5 paired observations of x = car age in years and y = price in k€. Use the least-squares line ŷ = a + b·x. Find the slope b.
The table gives 6 paired observations of x = car age in years and y = price in k€. Find Pearson's correlation coefficient r.
The table gives 5 paired observations of x = car age in years and y = price in k€. Find the coefficient of determination r² of the least-squares line.
The table gives 5 paired observations of x = car age in years and y = price in k€. Use the least-squares line ŷ = a + b·x. A new observation (2.5, 14) is made. Find its residual e = y − ŷ.
The table gives 6 paired observations of x = load in kN and y = extension in mm. Use the least-squares line ŷ = a + b·x. Predict ŷ for x = 7.
Answer key
- 1. a = −1.733
- 2. b = −3.4
- 3. r = −0.971
- 4. r² = 0.9346
- 5. e = −5.2
- 6. ŷ = 22.33
Full step-by-step solutions: practise this topic on examproblems.com.