Question

12.Regarding the direction of a relationship between two variables, choose the best description of a negative association.

A.A relationship between two variables where the observations of the variables move in opposite directions, e.g. as the values of one variable increase, values of the other variable decrease or vice versa. For example, alcohol consumption and the strength of the body’s immune system.

B.A relationship between two variables where the observations of the variables move in opposite directions, e.g. as the values of one variable decrease, values of the other variable also decrease. For example, exposure to nuclear radiation and incidence of cancers.

C.A relationship between two variables where the observations of the variables move in the same direction, which can be upward and downward e.g. as the values of one variable increase, values of the other variable also increase. For example, age and educational attainment.

D.A relationship between two variables where the observations of the variables move in the same upward direction, but not downward direction, e.g. as the values of one variable increase, values of the other variable only increase. For example, age and time.

13. True or false, when calculating gamma, one must keep in mind that nominal variables have no directionality, so the answer will always be positive?

16. True or false, PRE measures can be multiplied by 100 to indicate the percentage improvement in prediction?

17.What is the strength of the relationship between party identification (IV) and approval/disapproval of the federal government’s collection of data for antiterrorism efforts (DV) given a Lambda of 0.12?

A.No association

B.Weak association

C.Moderate association

D.Strong association

18. From the example given in question 17, the error of prediction is reduced by what percentage when we use information on respondent’s political party identification to predict one’s position on the collection of phone and internet data for antiterrorism efforts?

A.0.12%

B.12%

C.1.2%

D.88%

E.0.88%

18. Cramer's V is a measure of association for variables with which level of measurement?

A.Nominal

B.Ordinal

C.Interval-ratio

D.All levels of measurement.

19. True or false, Cramer’s V is a nondirectional measure of association and cannot take negative values.

20. True or false, Cramer’s V is a chi-square related measure of association.

21. If you wanted to display graphically the relationship of one variable to another, you might use a (choose all that apply):

A.Pie chart

B.Frequency table

C.Line graph

D.Scatter plot

22. Adding more than 1 independent variable to a regression equation will do which of the following?

A.Increase the value of the coefficient of multiple determinations.

B.Leave the predictive power of the equation unchanged.

C.Reduce the predictive power of the equation.

D. Additional independent variables may not be added to a regression equation.

E.None of the above.

24. ___________ is a type of analysis in which the relationship between two interval-ratio variables is assessed by using methods of the “best-fitting line”. Chi-square analysis Logistic regression Ordinary least squares regression Proportional reduction of errors measure.

25.Ordinary Least Squares regression is most useful for which level of measurement?

A.IV: nominal; DV: interval-ratio

B.IV: nominal; DV: nominal

C.IV: interval-ratio; DV: interval-ratio

D.IV: interval-ratio; DV: nominal

26. In the equation y = a + bx, which letter corresponds to the dependent variable?

A. y

B. a

C. b

D. x

Answer 1

12.

Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa.

So Correct Option is A.A relationship between two variables where the observations of the variables move in opposite directions, e.g. as the values of one variable increase, values of the other variable decrease or vice versa. For example, alcohol consumption and the strength of the body’s immune system.

13. True or false, when calculating gamma, one must keep in mind that nominal variables have no directionality, so the answer will always be positive?

Reason: Lambda is defined as an asymmetrical measure of association that is suitable for use with nominal variables. It may range from 0.0 to 1.0. Lambda provides us with an indication of the strength of the relationship between independent and dependent variables.

16. True or false, PRE measures can be multiplied by 100 to indicate the percentage improvement in prediction?

17.What is the strength of the relationship between party identification (IV) and approval/disapproval of the federal government’s collection of data for antiterrorism efforts (DV) given a Lambda of 0.12?

A.No association

B.Weak association

C.Moderate association

D.Strong association

Please post remaining all questions separately. Hope this will be helpful. Thanks and God Bless You :)