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TABLE 16-14
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters,using quarterly data on number of contracts during the 3-year period from 2010 to 2012.The following is the resulting regression equation:
ln = 3.37 + 0.117 X - 0.083 Q1 + 1.28 Q2 + 0.617 Q3
where is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2010
Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise
Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise
Q3 is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise
-Referring to Table 16-14,in testing the coefficient for Q1 in the regression equation (-0.083) ,the results were a t-statistic of -0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result?
Test Statistic
A numerical quantity calculated from a sample of data, used in statistical testing to make decisions about a population parameter.
P-value
The probability of achieving outcomes as significant as, or more significant than, the ones observed, under the premise that the null hypothesis is valid.
Test Statistic
A numerical value calculated from sample data during a hypothesis test, used to assess the strength of evidence against the null hypothesis.
Population Proportions
The fraction or percentage of the population that possesses a particular property.
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