please help me with my homework problems, thank you very much ! ( do not need too many specific working steps)

Question 31 USE THE INFORMATION BELOW TO ANSWER PROBLEMS 31 THRU 34 Acme Properties, Inc. specializes in home sales in the San Francisco Bay Area. A random sample of eight homes in the Bay Area during the late 1990's and early 2000 provided information on assessed value and price. In the data set, the smallest assessed value was $279,000 and the largest assessed value was $804,000. Use the output below to answer the following questions: Correlation ofASSESSED and PRICE = r = 0.996 The regression equation is PRICE = 60,300 + 1.49IASSESSED) 31. Predict the price of a custom home in the Bay Area that is assessed at $350,000. 0 $112,450 0 $357,900 0 $427,500 0 $581,800 0 This )1 value is beyond the scope of the data. 1pts Question 32 32. Predict the price of a custom home in the Bay Area that is assessed at $250,000. 0 $475,000 0 $432,300 0 $317,300 0 $295,000 0 This xvalue is beyond the scope of the data. Question 33 33. State the value of slope of the regression line. 0 60.3 o 0.996 o 1.49 O 27.56 Question 34 34. Interpret the correlation coefcient. There is a: 0 strong negative linear relationship between home price and assessed value. 0 weak negative linear relationship between home price and assessed value. 0 strong positive linear relationship between home price and assessed value. 0 weak positive linear relationship between home price and assessed value