Question
To help schedule staffing and equipment needs, a large hospital uses amultiple regression modelto predict its 'bed census' y , the number of beds occupied
To help schedule staffing and equipment needs, a large hospital uses amultiple regression modelto predict its 'bed census' y, the number of beds occupied at the end of each day. Using hospital records from the most recent 21 days, a total of 2 independent variablesare used to find the estimated regression model.
Let?1 and?2 denote the coefficients of the2variables in this model. A computer printout indicates that theerror sum of squares (SSE) associated with the model is27.40and the correspondingregression sum of squares (SSR) is28.44. Using asignificance levelof
0.10,can you conclude that at least one of the independent variables in the model provides useful (i.e., statistically significant) information for predicting daily bed census?
Perform aone-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table.
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