book

Excel® 2013 Formulas and Functions

by Paul McFedries

February 2013

Intermediate to advanced

528 pages

13h 53m

English

Que

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What’s in the BookThis Book’s Special Features

Advanced Range-Selection TechniquesData Entry in a RangeFilling a RangeCreating a SeriesAdvanced Range CopyingClearing a RangeApplying Conditional Formatting to a RangeFrom Here
Defining a Range NameWorking with Range NamesFrom Here
Understanding Formula BasicsUnderstanding Operator PrecedenceControlling Worksheet CalculationCopying and Moving FormulasDisplaying Worksheet FormulasConverting a Formula to a ValueWorking with Range Names in FormulasWorking with Links in FormulasFormatting Numbers, Dates, and TimesFrom Here
Working with ArraysUsing Iteration and Circular ReferencesConsolidating Multisheet DataApplying Data-Validation Rules to CellsUsing Dialog Box Controls on a WorksheetFrom Here
Understanding Excel’s Error ValuesFixing Other Formula ErrorsHandling Formula Errors with IFERROR()Using the Formula Error CheckerAuditing a WorksheetFrom Here
About Excel’s FunctionsThe Structure of a FunctionTyping a Function into a FormulaUsing the Insert Function FeatureLoading the Analysis ToolPakFrom Here
Excel’s Text FunctionsWorking with Characters and CodesConverting TextFormatting TextManipulating TextRemoving Unwanted Characters from a StringExtracting a SubstringSearching for SubstringsSubstituting One Substring for AnotherFrom Here
Adding Intelligence with Logical FunctionsGetting Data with Information FunctionsFrom Here
Understanding Lookup TablesThe CHOOSE() FunctionLooking Up Values in TablesFrom Here
How Excel Deals with Dates and TimesUsing Excel’s Date FunctionsUsing Excel’s Time FunctionsFrom Here
Understanding Excel’s Rounding FunctionsSumming ValuesThe MOD() FunctionGenerating Random NumbersFrom Here
Understanding Descriptive StatisticsCounting Items with the COUNT() FunctionCalculating AveragesCalculating Extreme ValuesCalculating Measures of VariationWorking with Frequency DistributionsUsing the Analysis ToolPak Statistical ToolsFrom Here
Converting a Range to a TableBasic Table OperationsSorting a TableFiltering Table DataReferencing Tables in FormulasExcel’s Table FunctionsFrom Here
What Are PivotTables?Building PivotTablesWorking with PivotTable SubtotalsChanging the Data Field Summary CalculationCreating Custom PivotTable CalculationsFrom Here
Using What-If AnalysisWorking with Goal SeekWorking with ScenariosFrom Here
Choosing a Regression MethodUsing Simple Regression on Linear DataUsing Simple Regression on Nonlinear DataUsing Multiple Regression AnalysisFrom Here
Some Background on SolverLoading SolverUsing SolverAdding ConstraintsSaving a Solution as a ScenarioSetting Other Solver OptionsMaking Sense of Solver’s MessagesDisplaying Solver’s ReportsFrom Here
Understanding the Time Value of MoneyCalculating the Loan PaymentBuilding a Loan Amortization ScheduleCalculating the Term of the LoanCalculating the Interest Rate Required for a LoanCalculating How Much You Can BorrowFrom Here
Working with Interest RatesCalculating the Future ValueWorking Toward an Investment GoalFrom Here
Calculating the Present ValueDiscounting Cash FlowsCalculating the Payback PeriodCalculating the Internal Rate of ReturnFrom Here

Content preview from Excel® 2013 Formulas and Functions

16. Using Regression to Track Trends and Make Forecasts

In This Chapter

Choosing a Regression Method

Using Simple Regression on Linear Data

Using Simple Regression on Nonlinear Data

Using Multiple Regression Analysis

In these complex and uncertain times, forecasting business performance is increasingly important. Today, more than ever, managers at all levels need to make intelligent predictions of future sales and profit trends as part of their overall business strategy. By forecasting sales six months, a year, or even three years down the road, managers can anticipate related needs such as employee acquisitions, warehouse space, and raw material requirements. Similarly, a profit forecast enables the planning of the future expansion of a company. ...