Question

Your answer is partially correct. Try again. 1992) describes an experiment in which the amount of radon released in showers was investigated Radon-enriched water was used in the experiment, and six Contifice diameters were tested in shower heads. The data from the experimentare shown in the following table, The department of health studied the number of patients who need liver transplantation. The following data are the Liver Transplantation Waiting List (LTWL), where y is the size (in number of patients) and x is the corresponding year: Orifice Diameter Radon Released (9) Snipping Tool 7 y 1482 1898 29373927 49906932777376777833 8607 8564 8635 9005 x 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 73 74 62 59 51 Round your intermediate answers to four decimal places (e.g. 98.7654). 14 (a) Fit the simple linear regression model using the method of least squares. Find the estimate of o? Round your answer to the nearest integer (e.g. 9876). 7406803 affect them percentage of radon releaseduse 20.05 four decimal places (eg 123456) (b) How does the LTWL size change in average for a year? Round your answer to the nearest integer (e.g. 9876). - 1669 (c) Estimate the number of patients in the list in 2016. dence to conclude that the mean percentage vanes according to confice diameters 11527 he p-value for the Fustic in part ta) (d) Calculate the fitted value of y corresponding to x = 2012. Find the corresponding residual. Round your answer to the nearest integer (e.g. 9876). û =T8851 Round your answer to the nearest integer (e.g. 9876). 287 e =

Answer 1

a) a = 868947 b) $=669 c) ĝ=-1337664 +669(2016) = 11527 d) û=-1337664 + 669(2012) = 8851 e=y-= 8564 -8851 = -287

SUMMARY OUTPUT Regression Statistics Multiple R 0.9461 R Square 0.8950 Adjusted R Square 0.8855 Standard Error 932.1732 Observations 13 ANOVA df SS MS F Significance F 0.0000 1 93.8089 Regression Residual Total 81514985 9558415 91073400 81514985 868947 11 12 t Stat Intercept х Coefficients Standard Error -1337664 138747.5645 669 69.0973 -9.6410 9.6855 P-value Lower 95% Upper 95% 0.0000 -1643044.9346 -1032282.2742 0.0000 517.1597 821.3238