Math question

e. Construct a 95% confidence interval estimate for the the mean appraised value for houses that have a land area of 0.15 acres and is 35 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 0.15 acres and is 35 years old. $ thousand s individual appraised value s $ thousand (Round to one decimal place as needed.)Score: 0 of 1 pt 4 of 22 (19 complete) HW Score: 85.06%, 18.71 of 22 pts Instructor-created question Question Help 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 property in acres, and age, in years, for a sample of 20 single-family 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 parts (a) through (f) Click the icon to view the data table. PLEASE RUN SPSS OR STATCRUNCH TO OBTAIN THE REQUIRED DATA TO ANSWER THE QUESTIONS BELOW! Be prepared to RUN SPSS OR STATCRUNCH in other questions in this module tool a. State the multiple regression equation. Let X, represent the land area of the property in acres and let X2, age, in years. 9=0+(0) X1 +(0)X21 (Round to four decimal places as needed.) b. Interpret the meaning of the slopes, b, and by, in this problem. Choose the correct answer below. O A. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by by dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by by dollars. O B. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by by dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by by dollars. O C. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by 1000b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by 1000by dollars. c. Explain why the regression coefficient, by. has no practical meaning in the context of this problem. O A. The interpretation of be has no practical meaning here because it would represent the estimated land area of a new house with no appraised value. O B. The interpretation of by has no practical meaning here because it would represent the estimated appraised value of a new house that has no land area. O C. The interpretation of by has no practical meaning here because it would represent the estimated age of a house with no land area and no appraised value. d. Predict the appraised value for a house that has a land area of 0.15 acres and is 35 years old. $ thousand (Round to two decimal places as needed.)Score: 0 of 1 pt 4 of 22 (19 complete) HW Score: 85.06%, 18.71 of 22 pts Instructor-created question Question Help 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 property in acres, and age, in years, for a sample of 20 single-family 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 parts (a) through (f). Click the icon to view the data table. PLEASE RUN SPSS OR STATCRUNCH TO OBTAIN THE REQUIRED DATA TO ANS IS BELOW Be prepared to RUN SPSS OR STATCRUNCH in other questions in this module tool i Data Table X a. State the multiple regression equation. Let X,, represent the land 9=0+(0) X1 + (0) X21 (Round to four decimal places as needed.) Appraised Value Property Size Age b. Interpret the meaning of the slopes, b, and by, in this problem. 462.8 0.2267 45 363.2 0.2152 55 O A. For a given age, each increase of 1 acre in land area is est 427.5 0.1651 29 ollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by b 540.6 0.4642 18 408.5 0.2541 42 O B. For a given age, each increase of 1 acre in land area is est 370.1 0.2292 80 ollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by b 313.1 0.1883 40 741.3 0.5049 2 O C. For a given age, each increase of 1 acre in land area is esti 216.5 0.2233 52 by dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value 636.4 0.1355 14 351.7 0.1702 53 354.6 0.4228 46 c. Explain why the regression coefficient, by. has no practical mean 351.5 0.2566 41 275.2 0.1176 20 300.8 0.1629 62 O A. The interpretation of by has no practical meaning here beca 280.3 0.1746 58 house with no appraised value. 399.5 0.3828 46 O B. The interpretation of by has no practical meaning here bece 615.3 0.6595 47 a new house that has no land area. 310.8 O C. The interpretation of by has no practical meaning here beca 0.1748 52 367.4 0.1435 75 no land area and no appraised value. d. Predict the appraised value for a house that has a land area of d Print Done $ thousand (Round to two decimal places as needed.)