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You have data from an A/B test (testing ad copy version A or B which is randomly assigned to different groups in each instance of
You have data from an A/B test (testing ad copy version A or B which is randomly assigned to different groups in each instance of the test) conducted over of a series of days where the dependent variable is daily aggregate clicks. You run a linear regression model clicks 2 g + BlAdVers0n{B=1}where the dependent variable is daily aggregate clicks and the independent variable is AdVersion (A=O and B=1} and get the following output. Estimate standard error t statistic p-value Intercept 52.66 14.07 3.743 .001 Ad Version -2.52 0.98 -2.571 .012 If, instead. you re-ran the linear regression model after making changes to the independent variable AdVersion such that AdVersion is equal to zero if B and Ad Version is equal to 1 if A, which if the following statements is FALSE? 0 The estimate for the intercept will be the same 0 The pvalue for the Ad Version parameter will be the same 0 The t statistic for the Ad Version parameter will be the same, only the sign will change 0 The estimate of the Ad Version parameter will be the same, only the sign will change
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