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Please help me answer the following question. Thank you Question 4 fHomework: Module 12 - Multiple Regression Score: 0 of 1 pt 4 4 of22

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Please help me answer the following question. Thank you

Question 4

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\fHomework: Module 12 - Multiple Regression Score: 0 of 1 pt 4 4 of22 (20 complete) v p HW Score: 82.07%, 18.06 of 22 pts Instructorcreated question Question Helpv r) A certain town is located approximately 25 miles east of a large city. The data organized below Include the appraised value (in thousands of dollars), land area of the properly in acres, and age, in years, for a sample of 20 singleefamily homes located In the town. Develop a multiple linear regression model to predict appraised value based on land area of the property and age, in years Complete pans (a) through (D, a Click the icon to View the data table PLEASE RUN SPSS OR STATCRUNCH TO OBTAIN THE REQUIRED DATA TOANSWER THE QUESTIONS BELOW! Be prepared to RUN SPSS OR STATCRUNCH in other questions in this module too! a. State the multiple regression equation Let X." represent the land area of the property in acres and let X2, age, in years ' i: +( X1i*( xii (Round to four decimal places as needed ) b. Interpret the meaning of the slopes, b1 and b2, in this problem Choose the correct answer below. 0 A. For a given age, each increase oft acre in land area is estimated to result in an increase In appraised value by 1000b1 dollars. For a given land area, each increase In one year in age is estimated to result in adecrease in appraised value by 1000132 dollars, 0 E. For a given age, each increase oft acre in land area is estimated to result in an increase In appraised value by b2 dollars. For a given land area, each increase in one yearin age is estimated to result In a decrease in appraised value by b1 dollars 0 C. For a given age, each increase oft acre in land area is estimated to result in an increase In appraised value by b1 dollars. For a given land area, each increase in one yearin age is estimated to result In a decrease in appraised value by b2 dollars. 0. Explain why the regression coefcient, be, has no practical meaning in the context at this problem. 0 A. The interpretation of bu has no practical meaning here because it would represent the estimated age of a house With no land area and no appraised value 0 E. The interpretation of tin has no practical meaning here because it would represent the estimated land area of a new house With no appraised value 0 c. The interpretation of bn has no practical meaning here because rtwould represent the estimated appraised value of a new house that has no land area d. Predict the appraised value for a house that has a land area of0.35 acres and is 45 years old 58 thousand (Round to two decimal places as needed.) e. Construct a 95% condence interval estimate for the the mean appraised value for houses that have a land area of 0.35 acres and is 45 years old. $ thousand s mean appraised value S $ thousand (Round to one decimal place as needed.) f. Construct a 95% prediction interval estimate for the the individual appraised value for houses that have a land area of 0.35 acres and is 45 years old. $ thousand 5 individual appraised value 5 $ thousand (Round to one decimal place as needed.)

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