1. Given the following Linear regression model:

Profit ($) = -13 + 0.09 *counter Sales ($) + 0.03 * Drive through sales

How many extra counter sales are required to increase the profit by 1$, assuming every else is the same (Drive through sales = 100)

2. The consumption function captures one of the key relationships in economics. It expresses consumption as a function of disposal income, where disposable income is income after taxes. The attached file "Regression-Dataset1" shows data of average US annual consumption (in $) and disposable income (in $) for the years 2000 to 2016.

What is the predicted consumption if the disposable income is $31,192? (Use Two decimals)

3. The consumption function captures one of the key relationships in economics. It expresses consumption as a function of disposal income, where disposable income is income after taxes. The attached file "Regression-Dataset1" shows data of average US annual consumption (in $) and disposable income (in $) for the years 2000 to 2016.

Find the sample linear regression equation for the model. What is the intercept of the model? (Use two decimals)

4. What is the interpretation of the coefficient attached to the Cost ($) variable?

Profit ($) = 134 - 1.5 Cost ($)