Make a hypothetical data table and try to make interrelationships between AC, MC and AVC for ten observations. Keep in mind the trend of certain variables. Support Your answer with the help of correct graphs and their respective interpretations like Q TFC TVC TC ATC AVC AFC MC 1               2               3               4               And So on

In the context of econometrics, what does establishing Granger causality between two variables imply? A. There is a long-term equilibrium relationship between the variables. B. Past values of one variable can be used to predict the future values of another variable. C. There is a theoretical economic relationship between the variables. D. The variables are correlated.

Can you help me graph that information

The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2756 4 14 310300 2721 4 12 291500 2666 4 8 281100 2102 4 7 265600 1880 3 7 237500 1829 3 6 184600 1599 3 4 160800 1422 3 3 132600 1199 3 3 130500 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Copy Data