2. Assume that you are a policy analyst. Your staff has collected cross-sectional data on the determinants of average length of stay in various hospitals. A staff member hands you the following table...


what is the Nuber of physicans portion and how is it calculated?


2. Assume that you are a policy analyst. Your staff has collected cross-sectional data on the<br>determinants of average length of stay in various hospitals. A staff member hands you the<br>following table or regression results, assuming that you know how to interpret it.<br>Table. Regression Results for the Impact of Various Factors on Average Hospital Length of Stay<br>Independent Variable<br>Coefficient<br>t-Statistics<br>Intercept Term<br>0.038<br>3.56 *<br>Teaching Hospital or Non-teaching<br>Hospital (1=teaching, 0= others)<br>-0.1542<br>2.95*<br>Number of Hospital Beds<br>-0.327<br>3.89*<br>Occupancy Rate<br>-0.276<br>1.58<br>Number of physicians<br>0.185<br>3.44*<br>k.67*<br>Region (1= central, 0=others)<br>R-square = 0.398<br>0.165<br>An asterisk indicates that the coefficient is statistically significant in a two-tailed test at the<br>95% confidence level.<br>(a) In no more than two sentences each, interpret each independent variable's coefficient<br>and t-statistic (Including, coefficient, significance and if the conclusion reliable or not)<br>(b) Interpret the R-square term<br>

Extracted text: 2. Assume that you are a policy analyst. Your staff has collected cross-sectional data on the determinants of average length of stay in various hospitals. A staff member hands you the following table or regression results, assuming that you know how to interpret it. Table. Regression Results for the Impact of Various Factors on Average Hospital Length of Stay Independent Variable Coefficient t-Statistics Intercept Term 0.038 3.56 * Teaching Hospital or Non-teaching Hospital (1=teaching, 0= others) -0.1542 2.95* Number of Hospital Beds -0.327 3.89* Occupancy Rate -0.276 1.58 Number of physicians 0.185 3.44* k.67* Region (1= central, 0=others) R-square = 0.398 0.165 An asterisk indicates that the coefficient is statistically significant in a two-tailed test at the 95% confidence level. (a) In no more than two sentences each, interpret each independent variable's coefficient and t-statistic (Including, coefficient, significance and if the conclusion reliable or not) (b) Interpret the R-square term

Jun 11, 2022
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