Data Analytics For Accounting
Data Analytics For Accounting
19th Edition
ISBN: 9781260375190
Author: RICHARDSON, Vernon J., Teeter, Ryan, Terrell, Katie
Publisher: Mcgraw-hill Education,
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Chapter 3, Problem 9MCQ

 Models associated with regression and classification data approaches have all except this important part:

  1. a. Identifying which variables (we’ll call these independent variables) might help predict an outcome (we’ll call this the dependent variable).
  2. b. The functional form of the relationship (linear, nonlinear, etc.).
  3. c. The numeric parameters of the model (detailing the relative weights of each of the variables associated with the prediction).
  4. d. Test data.
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Students have asked these similar questions
When we use Excel to perform a regression analysis, the independent variable data must be contiguous with the dependent variable data. True False
Fill in the blanks. a. In multiple linear regression analysis, the independent variables are called ______. b. In multiple linear regression analysis, the dependent variable is called ______.
Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables.   a. uniform     b. discrete     c. continuous     d. intermittent
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