A company surveyed a society to find out the percentage of people who consumed burgers regularly. It went into the survey with a confidence of 95%. The margin of error considered was ±1%. About 25% of 1000 people polled Yes in a society of 10,000...
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OPTIONS Model Adequacy Lack of fit Residuals Quality of fit ANWER Quality of fit EXPLANATION Sum Squares always explains quality of fit thus Quality of fit is correct.
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OPTIONS Separate the variables and conduct a Simple Linear Regression Drop the predictor that is causing the high VIF and then re-do Regression Live with the variable having high VIF and hope that it is a model adequacy issue Try doing a Curvilinear Regression ANSWER...
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OPTIONS Mallows Cp Adjusted R2 R2 Predicted R2 ANSWER Predicted R2 EXPLANATION The other three are not serious considerations.
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OPTIONS Correlated Auto-correlated Collinear Confounded ANSWER Collinear EXPLANATION Collinear means correlated to each other unless they auto-correlate
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OPTIONS The Upper Whisker is at 33.0 The Data could be skewed The data forms a normal distribution The Lower Whisker is at 30 ANSWER The Data could be skewed EXPLANATION Option a and d are visible from the Box Plot, but in terms of...
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OPTIONS Brainstorming Affinity Diagram Cause and Effect Diagram Cause and Effect Matrix ANSWER Cause and Effect Diagram EXPLANATION The CE Diagram is the best possible tool here.
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OPTIONS Normal Distribution Poisson Distribution Hypergeometric Distribution Chi-Square Distribution ANSWER Normal Distribution EXPLANATION For large sample sizes, the Binomial distribution moves to the normal distribution.
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OPTIONS 0.66 0.62 0.6 0.5 ANSWER 0.66 EXPLANATION Applying standard binomial formula with p = 0.02 and x = 0.
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i. The process is in control ii. The process may not have been in control iii. The process may not have been normal OPTIONS i and ii ii and iii i, ii and iii Correct Option:B ii and iii EXPLANATION Such a condition can only...
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