Sample regression function in deviation form Continue reading
Sample regression function in deviation form
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Mean value of residuals is equal to zero
Mean value of residuals is equal to zero Continue reading
Mean value of est Y is equal to mean value of actual Y
Mean value of est Y is equal to mean value of actual Y Continue reading
Regression line will pass through sample means
Regression line will pass through sample means Continue reading
Beta two hat simplification
Beta two hat simplification Continue reading
Normal equations simple linear regression model
Normal equations simple linear regression model Continue reading
Why OLS
Why OLS Continue reading
Intuition to Econometrics
Intuition to Econometrics Continue reading
What are deterministic and Statistical relationships Distinguish between them
What are deterministic and Statistical relationships Distinguish between them Continue reading
Distinguish between regression, causation and correlation
Distinguish between regression, causation and correlation Continue reading
Ordinary least squares
Ordinary least squares Continue reading
Derivation of a normal equation
Derivation of a normal equation Continue reading
Derive the deviation form of beta 2 hat deviation form of slope term
Derive the deviation form of beta 2 hat deviation form of slope term Continue reading
Regression line passes through sample means of x and y
Regression line passes through sample means of x and y Continue reading
Mean value of the estimated y is equal to the mean value of the actual y
Mean value of the estimated y is equal to the mean value of the actual y Continue reading
Write a simple linear regression model in a deviation form
Write a simple linear regression model in a deviation form Continue reading
Assuming a simple linear regression model, show that the residuals are uncorrelated with predicted y
Assuming a simple linear regression model, show that the residuals are uncorrelated with predicted y Continue reading
Explain the first assumption of CLRM, i e ‘Linearity of a model’
Explain the first assumption of CLRM, i e ‘Linearity of a model’ Continue reading
Poisson Distribution example 1
Poisson Distribution example 1 Continue reading
Explain the second assumption of CLRM, i e ‘ X values are assumed to be fixed in a repeated sampling’
Explain the second assumption of CLRM, i e ‘ X values are assumed to be fixed in a repeated sampling’ Continue reading
