See the attached image for the introduction. Provide a two-sided 95% confidence interval for the standard deviation σ of price. (Plugin completely, but you need not simplify.) JMP output appears below for simple linear regression with data from the price, y (in $1000), ofn = 28 Seattle home prices. The explanatory variable is the total number of square feet in thehome.- Response Price ($000)Regression Plot600500400300200- Distributions100015002000250030003500Square FeetSquare FeetSummary of FitRSquareRSquare AdiRoot Mean Square ErrorMean of ResponseObservations (or Sum Wgts)0.5605030.543599356.821428Analysis of VarianceSum of100015002000250030003500SourceDFF RatioSquares Mean Square1 249200.64Model249201 33.1585- Summary StatisticsError26Prob > FC. Total27<.0001Mean1923.1071Std Dev653.11574v Parameter EstimatesStd Er Mean123.42727TermEstimate Std Error t Ratio Prob>ltUpper 95% Mean 2176.359Lower 95% Mean 1669.8553InterceptSquare Feet 0.1470966 0.02554573.938964 51.785541.43 0.16535.76 <.000128(ooos) eoad

Name: See the attached image for the introduction. Provide a two-sided 95% c
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: See the attached image for the introduction. Provide a two-sided 95% confidence interval for the standard deviation σ of price. (Plugin completely, but you need not simplify.) JMP output appears below for simple linear regression with data from the p