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When Y decreases by one unit for each equal unit increase in X, then


A) the intercept value will be negative
B) the slope value will be negative
C) the correlation value will be positive
D) both a and b, but not c

E) A) and B)
F) A) and D)

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When all the points in a scatter plot lie directly on the regression line of Y and X, then


A) X has caused Y
B) the correlation must equal 0
C) the correlation cannot be calculated
D) the correlation must equal +1.00

E) A) and B)
F) C) and D)

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For questions below, use the following: A group of 8 elementary school students was randomly selected . Each pupil was tested on both Math Ability and Spelling Ability. Their scores were:  Subject  Math Test  Spelling Test 114152121033249105876567109824\begin{array} { c c c } \text { Subject } & \text { Math Test } & \text { Spelling Test } \\1 & 14 & 15 \\2 & 12 & 10 \\3 & 3 & 2 \\4 & 9 & 10 \\5 & 8 & 7 \\6 & 5 & 6 \\7 & 10 & 9 \\8 & 2 & 4\end{array} -Find the .99 confidence interval for the predicted Y scores.

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The value of the standard error of estimate may never be greater than


A) 1.00
B) 0
C) the mean of Y
D) the standard deviation of Y

E) A) and C)
F) B) and D)

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The regression line is the single straight line which passes through most of the data points on a scatter plot.

A) True
B) False

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For the Pearson r, rejecting Ho means that the obtained correlation does exist in the population.

A) True
B) False

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In the regression of Y on X, when the Pearson r equals 1.00, so too must the slope value equal 1.00

A) True
B) False

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In a four-variable correlation, when two variables are held constant, while examining the remaining relationship between the other two, the technique is referred to as


A) a multiple R
B) a first-order partial
C) a higher-order partial
D) none of these

E) A) and B)
F) A) and C)

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For questions below, use the following: A group of 8 elementary school students was randomly selected . Each pupil was tested on both Math Ability and Spelling Ability. Their scores were:  Subject  Math Test  Spelling Test 114152121033249105876567109824\begin{array} { c c c } \text { Subject } & \text { Math Test } & \text { Spelling Test } \\1 & 14 & 15 \\2 & 12 & 10 \\3 & 3 & 2 \\4 & 9 & 10 \\5 & 8 & 7 \\6 & 5 & 6 \\7 & 10 & 9 \\8 & 2 & 4\end{array} -Find the .95 confidence interval for the predicted Y scores.

Correct Answer

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3.048 to 11.13 2

The resulting correlation between two or more predictor variables and a criterion variable is called the multiple R.

A) True
B) False

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The major goal of correlational research is to


A) establish cause-and-effect relationships
B) analyze the effects of an actively manipulated independent variable
C) evaluate the results of experimental research
D) make better-than-chance predictions

E) B) and C)
F) All of the above

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The regression line


A) is drawn through the points on a scatter plot
B) is a straight line
C) comes closet to the majority of the scatter points
D) all of these

E) B) and C)
F) A) and C)

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D

The higher the correlation between X and Y


A) the more the scatter points deviate from the regression line
B) the more the scatter points cluster around the regression line
C) the more the scatter points create a circular configuration
D) none of these

E) C) and D)
F) A) and D)

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When the correlation in a sample is found to be significant, then it is assumed that


A) the mean of Y differs from the mean of X in the population
B) the mean of Y equals the mean of X in the population
C) the regression of Y on X cannot be determined
D) the correlation also exists in the population

E) None of the above
F) A) and B)

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In order to obtain significance for the Pearson r, Ho must be rejected.

A) True
B) False

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When predicting a student's GPA on the basis of the Verbal SAT score, the regression line was equal to .01X + .10. This means that there was


A) a .01 decrease in GPA for each point increase in SAT
B) a .10 increase in GPA for each point increase in SAT
C) a predicted GPA of .10 when the SAT score was at its minimum value
D) a predicted GPA of .01 when the SAT score was at its minimum value

E) A) and B)
F) B) and C)

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C

Use the following: Assume a significant XY correlation of .85 and a sample size of 30. The mean of X equals 800.00, and the mean of Y equals 20.00. The estimated sd of X equals 75.00, and the estimated sd of Y equals 3.70. -Predict a Y value for a known X value 1100.00.

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When predicting a student's GPA on the basis of the Verbal SAT score, the regression line was equal to .01X + .10. This means that there was


A) a .01 increase in GPA for each point increase in SAT
B) a .01 increase in SAT for each point increase in GPA
C) an SAT value of .10 when the the GPA was equal to zero
D) a and c, but not b

E) None of the above
F) A) and B)

Correct Answer

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For questions below , use the following: A researcher selects a random sample of 8 high school students. Each student is tested on both Need Achievement and Mechanical Aptitude. The scores were:  Subject  Need Achievement  Mechanical Aptitude 1121022335749551196108746813\begin{array} { c c c } \text { Subject } & \text { Need Achievement } & \text { Mechanical Aptitude } \\1 & 12 & 10 \\2 & 2 & 3 \\3 & 5 & 7 \\4 & 9 & 5 \\5 & 11 & 9 \\6 & 10 & 8 \\7 & 4 & 6 \\8 & 1 & 3\end{array} -Find the standard error of estimate.

Correct Answer

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Whenever the value of the correlation is negative


A) the resulting predictions will be inaccurate
B) the amount of information about Y being contained in X is zero
C) both of these
D) neither of these

E) All of the above
F) A) and D)

Correct Answer

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