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The comparative estimate s likely project duration estimate of 78 months aligns reasonably closely (that is, is 16 percent higher) to the original regression equation estimate of 67 months (regression equation estimate considering functional size alone) In other words, when several more of the SSRM s attributes were explicitly considered, they were found to support the regression equation estimate for project work effort and to suggest a slight increase for project duration Based upon her knowledge of the many other project attributes that were not addressed by the estimating by comparison technique, but which can also impact project work effort and duration, Jenny could now attempt to determine what actual value from within the estimate ranges she should select as the SSRM project estimates Doing that, however, would limit the amount of information the estimating by comparison process has made available to her Jenny therefore chooses to focus on the full estimate range: If the project goes extremely well with no major problems, with less than the normal amount of holdups, scope creep, and rework, and no personnel changes, it should be possible to achieve the optimistic estimates If the project follows the normal path, the likely estimates should be achievable If, on the other hand, significant but surmountable problems and holdups occur during the project, it may be possible to achieve only the conservative estimates Utilizing the full range of estimate values, Jenny and the other Supersoft personnel in charge of the SSRM project can now consider the impact on their budget, resources, and the company s future of either a highly successful, normal, or highly unsuccessful SSRM project The full range of estimate values will also be more useful than a single estimate value to Jenny when she later uses the comparative estimates to help validate the task-based micro-estimates If SSRM s task-based estimates fall within the comparative estimate ranges, Jenny can feel more confident that the task-based estimates are consistent with the values typically achieved by the industry for this type of project If not, this will highlight the need to investigate whether there are valid reasons for SSRM being expected to have significantly better or worse project work effort or duration than is typically achieved.

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Answer 1-4

=YEAR([OrderDate])

In a relation, we can have more than one value of the dependent (or output) variable for a single value of the independent (or input) variable In a function, we re allowed no more than one output for any given input All functions are relations, but not all relations are functions

The estimating by comparison technique just described allowed the estimator to tune the estimates calculated from the ISBSG Repository data to reflect the explicit attributes of a particular project In doing

Question 1-5

Finally, to put the category name and product name together:

The Cartesian plane can be used for graphing relations and functions between an independent variable and a dependent variable The plane is divided into four sections, called quadrants How do we identify them

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so, however, estimating by comparison still relies upon calculating averages from a number of projects in the repository that are somewhat similar to the target project Estimating by comparison does not attempt to find or to give additional weight to the one or small number of projects in the repository that are most similar to the target project Its inability to focus on these most similar projects means that estimating by comparison may fail to properly consider the projects in the repository that can provide some of the most useful information The estimating using analogy technique presented here is a technique that focuses upon finding the project, or projects, in the repository most similar to the target project and then utilizing their actual values of project work effort and duration as estimates for the target project These matching projects are known as analogs The estimating using analogy process is demonstrated in detail in the following section

Answer 1-5

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Jan 16, 2019 · //Add the Image file to the PDF document object. iTextSharp.text.Image img = iTextSharp.text.Image.GetInstance(filePath); pdfDoc.Add(img); pdfDoc.Close();

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Click the Products tab to view the Products table Click in the Add Column column, and type the following DAX (you can type the letter c and use AutoComplete to save typing the table name and the column name) If you type the letter r after the equal sign (=), you can save typing the function name in full:

In the first quadrant (usually the upper right), both variables are positive In the second quadrant (usually the upper left), the independent variable is negative and the dependent variable is positive In the third quadrant (usually the lower left), both variables are negative In the fourth quadrant (usually the lower right), the independent variable is positive and the dependent variable is negative

Review Questions and Answers Question 1-6

=RELATED('Categories'[CategoryName])

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