Chapter 2 Flashcards

1
Q

2.1: Simple Linear Regression Model

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2
Q

2.1: The Zero Conditional Mean Assumption

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3
Q

2.1: Population Regression Function (PRF)

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4
Q

2.2: Equation of the Slope Parameter

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5
Q

2.2: Equation for the Intercept Parameter

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6
Q

2.2: OLS Regression Line/ Sample Regression Function

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7
Q

2.3: Total Sum of Squares, Explained Sum of Squares and Residual Sum of Squares

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8
Q

2.3: Coefficient of Determination

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9
Q

2.4: Δy in level-level, log-level, level-log, and log-log models

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10
Q

2.5: The Four Assumptions for Unbiasedness of OLS

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11
Q

2.5: Definition of Homoskedasticity

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12
Q

2.5: Definition of Heteroskedasticity

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13
Q

2.5: Sample Variances of the OLS Estimators

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14
Q

2.5: Unbiased Estimator of the Error Variance and Standard Error of Regression

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15
Q

2.5: Standard Error of the Estimated Slope Parameter

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16
Q

2.5: Proof of Unbiasedness of the OLS Slope Parameter

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17
Q

2.5: Proof of Unbiasedness of the OLS Intercept Parameter

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18
Q

2.6: Regression Through the Origin

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