Accessibility Mode Download Save a Written Assignment for Correlation and Regression The following table lists the size (in square feet) and selling price (in thousands) for a random sample of houses for selling in a city. The objective is to use the data to estimate the selling price of a house from the size of a house. Size 1148 1096 1142 1288 1322 1466 1344 1544 1494 Selling Price 154 160 169 170 170 180 180 189 190 Part A - Suppose that we want to describe and examine the relationship between the size and the selling price of houses for selling in a city. a. [1] Construct a graph that help us to describe the relationship between the size and the selling price of houses in the sample. Note: Use Excel to construct the graph, then take a screenshot and past it in the word file. b. [1] Determine the correlation coefficient of the size and the selling price of houses in the sample. c. [1] Use the graph in (a) and the correlation coefficient in (b) to describe therelationship between size and selling price of houses in the sample. 77% 10 C ~ O W X O m L V to searchAccessibility Mode Download Written Assignment for Correlation and Regression N Part B - Suppose that we want to predict the selling price of a house from its size. a. [1] Write down the regression equation that predicts the selling price of a house from its size. b. [1 ] Predict the price of the following houses. Predicted price (in thousands of dollars) The house is 1,200 square feet The house is 1,300 square feet c. [1] Interpret the intercept of the regression equation in the context of the problem. d. [1] Is the interpretation of the intercept meaningful? Hint: The selling price of a house is based on the value of its building and its land. 10 C ere to search L W X 77%