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Consider the Following to Answer the Question(s) Below

Question 19

Multiple Choice

Consider the following to answer the question(s) below:
Quarterly sales data (in $10,000) for a small company specializing in green cleaning products are shown in the time series graph below. Consider the following to answer the question(s)  below: Quarterly sales data (in $10,000)  for a small company specializing in green cleaning products are shown in the time series graph below.   A seasonal regression model was fit to these data and the results are shown below. The regression equation is Sales = 89.06 + 1.37t - 23.37Q2 - 23.91Q3 + 27.88Q4.   -Which of the following is not true? A)  The seasonal regression model is significant in explaining sales as indicated by the F-statistic and associated P-value. B)  The seasonal regression model explains 98.02% of the variation in sales. C)  The t-statistics and associated P-values indicate that all dummy variables representing quarters are significant. D)  Q1 is the quarter without dummy variable. The next year sales in Q1 is predicted to be $1,233,100. E)  The seasonal regression model is not significant overall as only Q1 is significant. A seasonal regression model was fit to these data and the results are shown below.
The regression equation is Sales = 89.06 + 1.37t - 23.37Q2 - 23.91Q3 + 27.88Q4. Consider the following to answer the question(s)  below: Quarterly sales data (in $10,000)  for a small company specializing in green cleaning products are shown in the time series graph below.   A seasonal regression model was fit to these data and the results are shown below. The regression equation is Sales = 89.06 + 1.37t - 23.37Q2 - 23.91Q3 + 27.88Q4.   -Which of the following is not true? A)  The seasonal regression model is significant in explaining sales as indicated by the F-statistic and associated P-value. B)  The seasonal regression model explains 98.02% of the variation in sales. C)  The t-statistics and associated P-values indicate that all dummy variables representing quarters are significant. D)  Q1 is the quarter without dummy variable. The next year sales in Q1 is predicted to be $1,233,100. E)  The seasonal regression model is not significant overall as only Q1 is significant.
-Which of the following is not true?


A) The seasonal regression model is significant in explaining sales as indicated by the F-statistic and associated P-value.
B) The seasonal regression model explains 98.02% of the variation in sales.
C) The t-statistics and associated P-values indicate that all dummy variables representing quarters are significant.
D) Q1 is the quarter without dummy variable. The next year sales in Q1 is predicted to be $1,233,100.
E) The seasonal regression model is not significant overall as only Q1 is significant.

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