find the residual? solve it correctly please. I will rate accordingly with multiple votes.

For the response variable y, the selling price in thousands of dollars, and the expanatory variable x, the size of the house in thousands of square feet, 37: 9.6 + 77.0x. a. How much do you predict a house would sell for if it has (i) 2000 square feet, (ii) 3000 square feet? b. Using results in part a, explain how to interpret the slope. o. Is the correlation between these variables positive or negative? Why? d. One home that is 3000 square feet sold for $300,000. Find the residual, and interpret. a. (i) The predicted selling price of a house that has 2000 square feet is $ 163,600 . (ii) The predicted selling price of a house that has 3000 square feet is $ 240,600 . b. Which of the following statements best interprets the slope? For every increase of $1000 in selling price, the predicted size of the house decreases by 77,000 square feet. V For every increase of 1000 square feet to house size, the predicted selling price increases by $77,000. For every increase of $1000 in selling price, the predicted size of the house increases by 77,000 square feet. For every increase of 1000 square feet to house size, the predicted selling price decreases by $77,000. c. The correlation is positive because the selling price tends to increase as the house size increases. d. The residual is $|:|