Answer:
(a) exactly the same
Explanation:
Both John and Fred meet the diagnostic criteria for paranoid personality disorder. John's friends are aware of his paranoia although he continues to live a meaningful life. Fred's paranoia is so extreme that he finds it hard to function in society. The DSM-IVTR, Axis II diagnosis for these individuals would be exactly the same. We must see that some of the examples of the Personality Disorders includes paranoid personality disorder, schizoid personality disorder, schizotypal personality disorder etc
Answer:
A. Marketing research problem.
Explanation:
Matching each committee with its description:
- Joint committee: A committee with equal members from both parties.
- Standing committee: A permanent committee on a specific topic.
- Select committee: A temporary investigative committee.
<h3>What is a committee?</h3>
A committee is a group of people who sole aims or objectives to communicate and to deliberate on issues or matters.
Joint committee is a committee that is made-up of the same members from both parties.
Standing committee is a committee that has been selected permanently to make decision on important topic.
Select committee is a committee that has been selected to temporary carryout investigation on specific topic including issues or matters arising.
Inconclusion matching each committee with its description: Joint committee: A committee with equal members from both parties.
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Regression analysis is a common statistical technique used in finance and investment. Linear regression is one of the most common regression analysis techniques.
The difference between simple regression and multiple regression is a broader class of regression that includes linear and nonlinear regression with multiple explanatory variables.
A simple linear regression has only one x and y variable. Multiple linear regression has one y variable and two or more x variables. For example, predicting rent based only on square feet is a simple linear regression.
Regression analysis is usually performed for one of two purposes: to predict the value of the dependent variable for people for whom some information about the explanatory variable is available, or to estimate the effect of the explanatory variable on the dependent variable. is.
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