Explanation for linear regression

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1. Briefly describe when qualitative versus quantitative forecasting methods would be used?
2. Linear Regression.
a. Describe what linear regression is and how it can be used.
b. Explain each variable in the equation: y = a + bx
c. Coefficient of Correlation, r.
- What does r measure?
- What values can r have and what do they mean?
d. Coefficient of Determination, r2.
- What does r measure?
- What values can r2 have and what do they mean?

Reference no: EM13107823

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