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Please help me with these MCQs- A negative least-squares regression line slope value reflects a(n) ________ relationship between the independent and dependent variables. a) direct

Please help me with these MCQs-

A negative least-squares regression line slope value reflects a(n) ________ relationship between the independent and dependent variables.

a)

direct

b)

weak

c)

curvilinear

d)

inverse

e)

formless

Question 2 (1 point)

The symbol used to represent lambda is ________.

Question 2 options:

a)

b)

c)

d)

e)

Question 3 (1 point)

For lambda, E2 refers to ________.

a)

the error reduction that occurs when the independent variable and its relationship to the dependent variable are considered

b)

the number of cases that do not fall into the modal category of the dependent variable

c)

the number of cases that do not fall into the modal categories of the conditional distributions of the independent variable

d)

the number of cases that fall into the modal categories of the conditional distributions of the independent variable

e)

the number of cases that fall into the modal category of the dependent variable

Question 4 (1 point)

The ________ the relationship the independent variable has to the dependent variable, the ________ will be the reduction in prediction errors.

a)

The statement indicates a false relation, as there is no systematic connection between the strength of the independent-dependent variable relationship and the number of prediction errors.

b)

weaker; greater

c)

stronger; smaller

d)

stronger; greater

Question 5 (1 point)

Following gamma's marginal prediction rule, the number of correctly predicted ordered pairs will be ________ the number of incorrectly predicted ordered pairs.

a)

greater than

b)

less than

c)

sometimes greater than and sometimes less than

d)

sometimes equal to and sometimes not equal to

e)

equal to

Question 6 (1 point)

The intercept is ________.

a)

always equivalent to (0,0)

b)

(change in dependent variable) (change in independent variable)

c)

undefined for a straight line

d)

the point where the best-fit regression line crosses the axis of the dependent variable

e)

the point where the best-fit regression line crosses the axis of the independent variable

Question 7 (1 point)

The slope is ________.

a)

the point where the best-fit regression line crosses the axis of the dependent variable

b)

always equivalent to (0,0)

c)

undefined for a straight line

d)

the point where the best-fit regression line crosses the axis of the independent variable

e)

(change in dependent variable) (change in independent variable)

Question 8 (1 point)

If there are more same order pairs than opposite order pairs in a data set then the sign of gamma will be ________.

a)

positive

b)

negative

c)

neither positive nor negative

d)

indefinite

Question 9 (1 point)

If a least-squares regression line has a slope of 3, this means that a 3-unit change in the independent variable will correspond to a ________-unit change in the dependent variable.

a)

1

b)

6

c)

3

d)

9

e)

1/3

Question 10 (1 point)

Regression lines that have ________ and ________ are indicative of a stronger relationship between the independent and dependent variables.

a)

steeper slopes; larger intercepts

b)

more horizontal slopes; greater precision

c)

steeper slopes; lower precision

d)

more horizontal slopes; lower precision

e)

steeper slopes; greater precision

Question 11 (1 point)

The ________ indicate(s) how well the least-squares regression line fits the data points.

a)

magnitude (absolute value) of the slope

b)

magnitude (absolute value) of the correlation coefficient

c)

directional sign of Pearson's r

d)

directional sign of the slope

Question 12 (1 point)

In regression analysis, r2 is ________.

a)

ESS

b)

the correlation coefficient

c)

USS

d)

the coefficient of determination

e)

TSS

Question 13 (1 point)

Selecting the appropriate PRE statistic depends on the ________.

a)

slope of the best-fit line

b)

marginal prediction rule

c)

directionality of the research hypothesis

d)

level of measurement of the variables involved

e)

number of attributes of the dependent variable

Question 14 (1 point)

In scatterplot analysis, if you only have information about the dependent variable's scores, and you want a general rule for predicting each case's dependent variable score, the best rule is to predict the ________.

a)

range

b)

intercept

c)

mean

d)

median

e)

slope

Question 15 (1 point)

The marginal prediction rule for lambda is: ________.

a)

Predict the mode of each conditional distribution of the independent variable

b)

Predict the mode of the dependent variable

c)

Predict the mean of each conditional distribution of the independent variable

d)

Predict the mean of the dependent variable

e)

Predict the median of the dependent variable

Question 16 (1 point)

The value obtained by dividing the amount of change in the dependent variable by the amount of change in the independent variable corresponds to the ________ term in the general formula Y' = a + bX.

a)

"b"

b)

"a"

c)

"bX"

d)

"Y'"

e)

"X"

Question 17 (1 point)

In regression analysis, Pearson's r is ________.

a)

the coefficient of determination

b)

equivalent to b in the equation Y = a + bX

c)

the standard deviation

d)

equivalent to a in the equation Y = a + bX

e)

the correlation coefficient

Question 18 (1 point)

In a study of ETHNICITY (independent variable) and LIFE SATISFACTION (dependent variable), 10 prediction errors are made when we do not have any information about the independent variable, and 5 prediction errors are made when we know the independent variable and its relationship to the dependent variable; these results give us a PRE value of ________.

a)

50

b)

5

c)

0.5

d)

1

e)

15

Question 19 (1 point)

Relationships are associations.

Question 19 options:

A) True

B) False

Question 20 (1 point)

If a percentaged PRE value is 100%, this indicates a(n) ________.

a)

moderately strong relationship between the independent and dependent variables

b)

perfectly strong relationship between the independent and dependent variables

c)

undefined result

d)

calculation error

e)

absence of any relationship between the independent and dependent variables

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