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MCQs

Total Questions : 61 | Page 2 of 7 pages
Question 11. Which of the following statements is true about the level of significance?
  1.    In testing a hypothesis, we take the level of significance as 2% if it is not mentioned earlier
  2.    In testing a hypothesis, we take the level of significance as 1% if it is not mentioned earlier
  3.    In testing a hypothesis, we take the level of significance as 10% if it is not mentioned earlier
  4.    In testing a hypothesis, we take the level of significance as 5% if it is not mentioned earlier
 Discuss Question
Answer: Option A. -> In testing a hypothesis, we take the level of significance as 2% if it is not mentioned earlier


Question 12. The independent variable is used to explain the dependent variable in ________.
  1.    Linear regression analysis
  2.    Multiple regression analysis
  3.    Non-linear regression analysis
  4.    None of the above
 Discuss Question
Answer: Option A. -> Linear regression analysis


Question 13. Which of the following statements is true about the regression line?
  1.    A regression line is also known as the line of the average relationship
  2.    A regression line is also known as the estimating equation
  3.    A regression line is also known as the prediction equation
  4.    All of the above
 Discuss Question
Answer: Option D. -> All of the above


Question 14. Which of the following statements is true about the correlational analysis between two sets of data?
  1.    The correlational analysis between two sets of data is known as a simple correlation
  2.    The correlational analysis between two sets of data is known as multiple correlation
  3.    The correlational analysis between two sets of data is known as partial correlation
  4.    None of the above
 Discuss Question
Answer: Option A. -> The correlational analysis between two sets of data is known as a simple correlation


Question 15. The original hypothesis is known as ______.
  1.    Alternate hypothesis
  2.    Null hypothesis
  3.    Both a and b are incorrect
  4.    Both a and b are correct
 Discuss Question
Answer: Option B. -> Null hypothesis


Question 16. The correlation coefficient is used to determine:
  1.    A specific value of the y-variable given a specific value of the x-variable
  2.    A specific value of the x-variable given a specific value of the y-variable
  3.    The strength of the relationship between the x and y variables
  4.    None of these
 Discuss Question
Answer: Option C. -> The strength of the relationship between the x and y variables


Question 17. If there is a very strong correlation between two variables then the correlation coefficient must be
  1.    any value larger than 1
  2.    much smaller than 0, if the correlation is negative
  3.    much larger than 0, regardless of whether the correlation is negative or positive
  4.    None of these alternatives is correct
 Discuss Question
Answer: Option B. -> much smaller than 0, if the correlation is negative


Question 18. In regression, the equation that describes how the response variable (y) is related to the
explanatory variable (x) is:
  1.    the correlation model
  2.    the regression model
  3.    used to compute the correlation coefficient
  4.    None of these alternatives is correct.
 Discuss Question
Answer: Option B. -> the regression model


Question 19. SSE can never be
  1.    larger than SST
  2.    smaller than SST
  3.    equal to 1
  4.    equal to zero
 Discuss Question
Answer: Option A. -> larger than SST


Question 20. Regression modeling is a statistical framework for developing a mathematical equation that
describes how
  1.    one explanatory and one or more response variables are related
  2.    several explanatory and several response variables response are related
  3.    one response and one or more explanatory variables are related
  4.    All of these are correct.
 Discuss Question
Answer: Option C. -> one response and one or more explanatory variables are related


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