This is about Multiple Linear Regression.

We are interested in the relationship between Risk of hospital-related infection in percent (Y) Length of a patient's stay in the hospital in days (Xl) Number of nurses during patient stay (X2) Region [NE, NC, S, W] where the patient was hospitalized (X3) The summary of the regression is shown below. What is the interpretation of 'regionVV' with estimate 1.097, assuming Xl and are O. Coeffi ci ents : (Intercept) lengthstay number_nurses regi onNC regi ons regi onw si gnif. codes: Estimate -o .6835073 o .4869984 o .0017386 -0.2055650 -o. 1846063 1.0968139 std. Error t value o. 6396241 o. 0631103 o .0006312 o .2088366 o. 2169073 0.2673605 -1.069 7.717 2.754 -0.984 -0.851 4.102 0.28657 6.14e13 *** O .00644 o. 32618 0.39577 6.01e05 *** .001 0.01 0.05 ' 0.1 ' 1 Residual standard error: 1.012 on 194 degrees of freedom Multiple R-squared: 0.4301, Adjusted R -squared: O. 4154 F-statistic: 29.28 on 5 and 194 DF, p-value: < 2.2e-16 O The average infection rate in region W is 1.097 O O O On average, the infection rate in region W is 1.097 more than region NE On average, the infection rate in region S is 1.097 more than region W On average, the infection rate in region W is 1.097 more than the average of all other regions