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Then apply regression analysis in which the percentage change in the trade balance is the dependent variable and the percentage change in the exchange rate is the independent variable. Is there a significant relationship between the two variables? Is the direction of the relationship as expected?
If you think that the exchange rate movements affect the trade balance with a lag (because the transactions of importers and exporters may be booked a few months in advance), you can reconfigure your data to assess that relationship (match each monthly percentage change in the balance of trade with the exchange rate movement that occurred a few months earlier).
There are different types of forecasting models that can be used in business research. Each model is suitable for a type of historical demand data. Some data may have a trend, may be without a trend, or may be seasonal.
Let (X, S) be a measurable space and En measurable sets, not necessarily disjoint, whose union is X. Suppose that for each n, fn is a measurable real-valued function on En. Suppose that for any x ∈ Em ∩ En for any m and n, fm (x ) = fn (x ). Le..
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Sketch the distributions involved, and (c) explain your answer to someone who is familiar with the t test for a single sample but not with the t test for independent means.
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If the t ratio for the slope of a simple linear regression equation is equal to 1.614 and the critical value of the t distribution at the 1% and 5% levels of significance, respectively, are 3.499 and 2.365 is the slope:
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