The table gives 6 paired observations of x = advertising spend in k€ and y = sales in k€. Use the least-squares line ŷ = a + b·x. Find the slope b.
Linear regression & correlation worksheet with answers
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.
The table gives 6 paired observations of x = advertising spend in k€ and y = sales in k€. Find the coefficient of determination r² of the least-squares line.
The table gives 5 paired observations of x = hours studied and y = exam score. Find Pearson's correlation coefficient r.
The table gives 5 paired observations of x = hours studied and y = exam score. Use the least-squares line ŷ = a + b·x. A new observation (4.5, 67) is made. Find its residual e = y − ŷ.
The table gives 5 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 = 3.
Answer key
- 1. b = 5.143
- 2. a = 2.933
- 3. r² = 0.9864
- 4. r = 0.9367
- 5. e = 4.45
- 6. ŷ = 8.85
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