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    Schedule Staffing and Equipment Needs

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    To help schedule staffing and equipment needs, a large hospital uses a multiple regression model to predict its 'bed census' Y, the number of beds occupied at the end of each day. Using hospital records from the most recent 18 days, a total of 2 independent variables are used to find the estimated regression model. Let Beta (1) and Beta (2) denote the coefficients of the 2 variables in this model. A computer printout indicates that the error sum of squares (SSE) associated with the model is 32.83 and the corresponding regression sum of squares (SSR) is 36.16. Using a significance level of 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 a one-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.

    Answer the Following:

    Type of test statistic (F-test): Degrees of freedom dfn: ___ dfd:_____

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    To help schedule staffing and equipment needs, a large hospital uses a multiple regression model to predict its 'bed census' Y, the number of beds occupied at the end of each day. Using hospital records from the most recent 18 days, a total of 2 independent ...

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