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TABLE 16-13
A local store developed a multiplicative time-series model to forecast its revenues in future quarters, using quarterly data on its revenues during the 4-year period from 2005 to 2009. The following is the resulting regression equation:
-Referring to Table 16-13, the best interpretation of the constant 6.102 in the regression equation is:
Mean
The average of a set of numerical values, calculated by adding them together and dividing by the number of values.
Standard Deviation
A measure that quantifies the amount of variation or dispersion of a set of data values from the mean.
Normal Probability Distribution
Also known as the Gaussian distribution, it's a bell-shaped curve that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.
Random Variables
Variables whose values depend on outcomes of a stochastic (random) phenomenon.
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