A A study was conducted to determine whether geographical variations in the use of medical and surgical services could be explained in part by differences in the appropriateness with which physicians use these services Once concern might be that a high rate of inappropriate use of a service is associated with high overall use within a particular region For the procedure coronary angiography, three geographic areas were studied a high use site (Site 1), a low use urban site (Site 2), and a low use rural site (Site 3) Within each geographical region, each use of this procedure was classified as appropriate, equivocal, or inappropriate by a panel of expert physicians These data are saved in angio csv Site number is saved under the variable name site and level of appropriateness under appropro Perform the following analysis using SAS Provide the relevant output and the SAS code What proportion of services is inappropriate in the high use site What proportion of services is inappropriate in the low use urban site What about the low use rural site At the 0 05 level of significance, test the null hypothesis that there is no association between geographic region and the appropriateness of use of coronary angiography What do you conclude B The data set birthweight csv contains information for the sample of 100 low birth weight infants born in Boston, Massachusetts Measurements of systolic blood pressure are saved under the variable name sbp , and values of gestational age under the name gestage Complete the following using SAS Submit your SAS code and relevant output Construct a scatter plot of systolic blood pressure versus gestational age Does the graph suggest anything about the nature of the relationship between these variables Using systolic blood pressure as the response and gestational age as the explanatory variable, compute the least squares regression line Write down the fitted regression equation and interpret the estimated slope and intercept of the line What do they mean in words At the 0 05 level of significance, test the null hypothesis that the true population slope

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A . A study was conducted to determine whether geographical variations in the use of medical and surgical services could be explained in part by

A. A study was conducted to determine whether geographical variations in the use of medical and surgical services could be explained in part by differences in the appropriateness with which physicians use these services. Once concern might be that a high rate of inappropriate use of a service is associated with high overall use within a particular region.For the procedure coronary angiography, three geographic areas were studied: a high-use site (Site 1), a low-use urban site (Site 2), and a low-use rural site (Site 3). Within each geographical region, each use of this procedure was classified as appropriate, equivocal, or inappropriate by a panel of expert physicians. These data are saved in angio.csv. Site number is saved under the variable name site and level of appropriateness under appropro.Perform the following analysis using SAS. Provide the relevant output and the SAS code.

What proportion of services is inappropriate in the high-use site? What proportion of services is inappropriate in the low-use urban site? What about the low-use rural site?
At the 0.05 level of significance, test the null hypothesis that there is no association between geographic region and the appropriateness of use of coronary angiography. What do you conclude?

B. The data set birthweight.csv contains information for the sample of 100 low birth weight infants born in Boston, Massachusetts. Measurements of systolic blood pressure are saved under the variable name sbp, and values of gestational age under the name gestage. Complete the following using SAS. Submit your SAS code and relevant output.

Construct a scatter plot of systolic blood pressure versus gestational age. Does the graph suggest anything about the nature of the relationship between these variables?
Using systolic blood pressure as the response and gestational age as the explanatory variable, compute the least-squares regression line. Write down the fitted regression equation and interpret the estimated slope and intercept of the line. What do they mean in words?
At the 0.05 level of significance, test the null hypothesis that the true population slope