In: Statistics and Probability
How is this formula for βˆ 1 related to the formula for cov(X, Y ) Express the formula for βˆ 1 as a function of the cov(X, Y )
To show how is this formula for related to the formula for cov(X, Y ) and to express the formula for as a function of the cov(X, Y )
Step 1:
Simple Linear Regression model is given by:
, (1)
where
Y is the dependent variable
X is the independent variable
is the y - intercept parameter
is the slope parameter
is the unobservable error component and is a N(0,) random variable,independent of X.
Step 2:
Taking Expectation of both sides of (1), we get:
By property of , we have E() = 0
Thus, we get:
So,
The Intercept parameter is given by:
Step 3:
By property of , we have Cov (X, ) =0
Also, we have Cov(X,1) = 0.
and
Cov(X, X) = Var(X)
Thus, we get:
Thus, the slope parameter is given by:
This is the formula for as a function of the cov(X, Y )