Transcription of Chapter 305 Multiple Regression - Statistical Software
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Chapter 305 Multiple Regression - Statistical Software
NCSS Statistical Software 305-1 NCSS, LLC. All Rights Reserved. Chapter 305 Multiple Regression Introduction Multiple Regression Analysis refers to a set of techniques for studying the straight-line relationships among two or more variables. Multiple Regression estimates the s in the equation jpjpjjj+x++x+x+y 22110= The X s are the independent variables (IV s). Y is the dependent variable. The subscript j represents the observation (row) number. The s are the unknown Regression coefficients. Their estimates are represented by b s. Each represents the original unknown (population) parameter, while b is an estimate of this . The j is the error (residual) of observation j. Although the Regression problem may be solved by a number of techniques, the most-used method is least squares.
c -1 -1 3.5 -3.5 -3.5 C -1 -1 1.8 -1.8 -1.8 When the variables XCA and XCB are added to the regression model, they will account for the interaction between
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