Final answer:
The formula for the slope parameter in a simple linear regression model in deviation form can be derived by calculating the covariance between the deviations of Y and X divided by the variance of X. The intercept parameter in a simple linear regression model in deviation form is equal to zero.
Step-by-step explanation:
In a simple linear regression model in deviation form, the formula for the slope parameter (β₁) can be derived by calculating the covariance between the deviations of Y (Yᵢ) and X (Xᵢ) divided by the variance of X.
This can be represented as:
β₁ = Cov(Xᵢ, Yᵢ) / Var(Xᵢ)
For the intercept parameter (β₀) in a simple linear regression model in deviation form, it is equal to zero.
This means that when the deviations of Y (Yᵢ) and X (Xᵢ) are calculated and centered around their respective means, the regression line will pass through the point (0,0) on the scatterplot.