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A series of prediction options are also provided in the Traceis software. As shown in Fig. B.55, the following tools are available: (1) linear regression, (2) discriminant analysis, (3) logistic regression, (4) naive Bayes, (5) kNN, (6) CART, and (7) neural networks. A table summarizing the different prediction options is shown in Table B.5. The ability to do a cross-validation is common to all prediction methods. The results of the cross-validation analysis are presented in a consistent format. Figure B.56 illustrates a cross-validation result for a regression model where the response variable is continuous. The software provides a series of metrics that are calculated and presented in a table, including mean square error, mean absolute error, relative square error, relative absolute error, correlation coef cient, and square correlation coef cient (as described in Section 4.1.3). A scatterplot showing the relationship between the actual response and the predicted values for the crossvalidated results is also provided.

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Now there are five columns of 16 rows, but only five actual formulas. These are multicell array formulas.

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It isn't necessary to understand why these economic relationships exist All that is necessary is the demonstration that they do exist and the application of that knowledge m trading decisions. The purpose in this and succeeding chapters is to demonstrate that these relationships do exist and can be used to advantage in market analysis. However, it is comforting to know that there are economic explanations as to why commodities ana interest rates move in the same direction During a period of economic expansion, demand for raw materials increases along with the demand for money to fuel the economic expansion. As a result prices of commodities rise along with the price of money (interest rates). A period of rising commodity prices arouses fears of inflation which prompts monetary authorities to raise interest rates to combat that inflation. Eventually, the rise in interest rates chokes off the economic expansion which leads to the inevitable economic slowdown and recession. During the recession demand for raw materials and money decreases, resulting in lower commodity prices and interest rates. Although it's not the mam concern in this chapter, it should also be obvious that activity in the bond and commodity markets can tell a lot about which way the economy is heading

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Until now, the examples that we cited for creating cookies explicitly specified the date in the format Wdy, DD MM YYYY HH:MM:SS GMT. However, there can be situations where you want the cookie to expire after a stipulated period of time from the date the user accesses your site. For instance, you may want your cookie to expire after 1 year from the date the user first accesses your site. You can use the Date object to manipulate date and time in such situations. Creating a new Date object gives access to the current date and time of the user s computer in a variable. You can then manipulate the date and time in the variable by using various methods of the Date object. The following statements create an expiration date 1 year ahead of the current date and then set a cookie with that expiration date.

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Do you see why you must calculate the sum before you divide to get the correct transaction price If you answer, Because this is a Group By query, then you are spot on accurate. In a Group By query, each field must be either an expression or a grouping. You want only one transaction price for each Branch and Product. Therefore, your transaction price must be an expression. Now that you know what you want, you must figure out how to modify the SQL. Take a look at the SQL code behind your current query by selecting the SQL icon from the Microsoft Query dialog box. You get a dialog box with the SQL code. Here is the code:

Table 9.1 Standard Exception Hierarchy (Continued) EXCEPTION NAME ValueError DERIVED FROM StandardError DESCRIPTION Raised when the built-in function for a data type has the valid type of arguments, but the arguments have invalid values specified. Raised when a generated error does not fall into any category. Raised when an abstract method that needs to be implemented in an inherited class is not actually implemented.

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