IBM
C2020-930 · Question #10
Which two statements are true about linear regression? (Choose two.)
The correct answer is B. Methods for variable entry and removal are Enter Stepwise, Forward, and Backward. C. The calculation of the predictor importance is based on Regression Sum-of-Squares. 01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/linear_regres sion_methods.htm
Reporting and Queries
Question
Which two statements are true about linear regression? (Choose two.)
Options
- AThe estimation method of coefficient is ordinary least squares.
- BMethods for variable entry and removal are Enter Stepwise, Forward, and Backward.
- CThe calculation of the predictor importance is based on Regression Sum-of-Squares.
- DAdjusted R-Squared is not a measure for Goodness-of-Fit.
How the community answered
(59 responses)- A12% (7)
- B83% (49)
- D5% (3)
Explanation
01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/linear_regres sion_methods.htm
Topics
#linear regression#OLS estimation#variable selection#predictor importance
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