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ID: 3294384 • Letter: T
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TIME IS TICKING!!
Remaining Time: 2 houns, 16 minutes, 15 seconds y Question Completion Status: QUESTION 18 High corselations among the independent variables in multiple regression ia culled O inear regression O hypothesis esting tbva correlation coeficient QUESTION 19 when it permissible to nemove ar observasan that is an oder tom a regression analysis? reason to conclude thet the outliar is not ooreparabile to the cther observelsions in tha datase any timetho orier is ca.aing issues witteregession results anyc 0 when the outer is * port of low wage observation can be deleted fom a detasetfor any reason QUESTION 20 An analyst considers two dillarent regressien models that have the sama dependent varibleesured in the sama Model 1 Model 2 usits. Several model statistics are reparted h Coefficdent of Determination (R Adjusted R2 () Standard Error ofthe Estimate(,) 58 ·1-2541 446 393 2.162 377 | Which model is better? O The models are equivalent O Model 1 O Model 2 -not posable to telborn heitor ason gven QUESTION 21 For Questions 21-37 consider the following problem and regression output Anwvstyst decades to use regression to mengate whenera pary's stock price (in Ole be aspared by the Dow Jones Industrial Arerage (0JA (in pok SUMMARY OUTPUT 7437 5531
Explanation / Answer
18) We are allowed to do 1 question at a time. Post again for second question.
Multicollinearity refers to a situation in which two or more explanatory variables in amultiple regression model are highly linearly related. We have perfect multicollinearity if the correlation between two independent variables is equal to 1 or 1.
So, option D
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