Question 1

The regression equation of Y on X

Accepted Answer

A)  produces a straight line 
B)  produces a curvilinear relationship 
C)  always slopes from upper left to lower right 
D)  all of these 
A)  produces a straight line 
B)  produces a curvilinear relationship 
C)  always slopes from upper left to lower right 
D)  all of these

Question 2

When using the standard error of estimate for establishing the confidence interval at .95, then a t ratio for an alpha of

Accepted Answer

A)  +1.00 should be used 
B)  .05 should be used 
C)  .95 should be used 
D)  .01 should be used 
A)  +1.00 should be used 
B)  .05 should be used 
C)  .95 should be used 
D)  .01 should be used

Question 3

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: $$\begin{array} { c c c } 
\text { Subject } & \text { Math Test } & \text { Spelling Test } \
1 & 14 & 15 \
2 & 12 & 10 \
3 & 3 & 2 \
4 & 9 & 10 \
5 & 8 & 7 \
6 & 5 & 6 \
7 & 10 & 9 \
8 & 2 & 4
\end{array}$$
-Predict a Y value for a given X value of 7.00.

Accepted Answer

The answer of For questions below, use the following: A...

Question 4

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: $$\begin{array} { c c c } 
\text { Subject } & \text { Need Achievement } & \text { Mechanical Aptitude } \
1 & 12 & 10 \
2 & 2 & 3 \
3 & 5 & 7 \
4 & 9 & 5 \
5 & 11 & 9 \
6 & 10 & 8 \
7 & 4 & 6 \
8 & 1 & 3
\end{array}$$
-Find the .95 confidence interval for the predicted Y value.

Accepted Answer

The answer of For questions below , use the following:...

Question 5

The discovery of the regression phenomenon is credited to

Accepted Answer

A)  Karl Pearson 
B)  Sir Francis Galton 
C)  Sir Ronald Fisher 
D)  Dr. Sigmund Gestalt 
A)  Karl Pearson 
B)  Sir Francis Galton 
C)  Sir Ronald Fisher 
D)  Dr. Sigmund Gestalt

Question 6

Use the following: Assume a significant XY correlation of .60 and a sample size of 62. The mean of X equals 14.00, and the mean of Y equals 2.00. The estimated sd of the sample X equals 3.00 and the estimated sd of Y equals .80.
-14-88. Predict a Y value for a known X value of 10.00.

Accepted Answer

The answer of Use the following: Assume a significant XY...

Question 7

When high scores on X associate with low scores on Y, the regression line

Accepted Answer

A)  has a negative slope 
B)  crosses the ordinate at the zero point 
C)  runs parallel to the abscissa 
D)  runs parallel to the ordinate 
A)  has a negative slope 
B)  crosses the ordinate at the zero point 
C)  runs parallel to the abscissa 
D)  runs parallel to the ordinate

Question 8

The higher the correlation between X and Y, then

Accepted Answer

A)  the higher the probability of having isolated the causal factor 
B)  the higher the probability of having sampled from a single population 
C)  the higher the probability of inflating the alpha error 
D)  the more accurate the resulting predictions 
A)  the higher the probability of having isolated the causal factor 
B)  the higher the probability of having sampled from a single population 
C)  the higher the probability of inflating the alpha error 
D)  the more accurate the resulting predictions

Question 9

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.
-Find the .99 confidence interval for the predicted Y value.

Accepted Answer

The answer of Use the following: Assume a significant XY...

Question 10

The standard error of estimate may never assume a negative value.

Accepted Answer

A) True 
 B)False

Question 11

The value for ry1.2 provides information regarding

Accepted Answer

A)  the multiple correlation among three variables 
B)  the correlation between variables 1 and 2, with variable Y held constant 
C)  the correlation between variables Y and 1, with variable 2 held constant 
D)  the correlation between variables Y and 2, with variable 1 held constant 
A)  the multiple correlation among three variables 
B)  the correlation between variables 1 and 2, with variable Y held constant 
C)  the correlation between variables Y and 1, with variable 2 held constant 
D)  the correlation between variables Y and 2, with variable 1 held constant

Question 12

For questions below, use the following: A random sample of college students was selected from the population of male, physical-education majors. The mean height was 68". The mean weight was 150 lbs. The mean waist-measure size was 32". The standard deviations were, for height, 3" for weight, 30 lbs for waist-size, 2" Significant Pearson r's were, Height and weight, .70 Height and waist-size, .40 Weight and waist-size, .30
-Predict the height of a student whose weight was 120 lbs., and who had a waist-size of 29".

Accepted Answer

The answer of For questions below, use the following: A...

Question 13

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.
-Calculate the standard error of estimate. 247

Accepted Answer

The answer of Use the following: Assume a significant XY...

Question 14

If X correlates .95 with Y, then Y correlates .95 with X.

Accepted Answer

A) True 
 B)False

Question 15

The most efficient use of the multiple R is when

Accepted Answer

A)  its value is higher than any of the values of the separate, internal correlations with the y variable 
B)  its value is lower than the values of the separate, internal correlations 
C)  the scores to be predicted are in nominal form 
D)  the research is experimental 
A)  its value is higher than any of the values of the separate, internal correlations with the y variable 
B)  its value is lower than the values of the separate, internal correlations 
C)  the scores to be predicted are in nominal form 
D)  the research is experimental

Question 16

According to the regression concept, the children of very tall parents

Accepted Answer

A)  should be taller than average, but shorter than their parents 
B)  should be at least as tall as their parents 
C)  should be below average in height 
D)  should just as likely be tall as short 
A)  should be taller than average, but shorter than their parents 
B)  should be at least as tall as their parents 
C)  should be below average in height 
D)  should just as likely be tall as short

Question 17

When the correlation between X and Y is equal to zero, then the only possible value that the Y pred. may take on is

Accepted Answer

A)  zero 
B)  a value equal to the slope 
C)  a value equal to the mean of X 
D)  a value equal to the mean of Y 
A)  zero 
B)  a value equal to the slope 
C)  a value equal to the mean of X 
D)  a value equal to the mean of Y

Question 18

When the correlation between X and Y equals zero, the standard error of estimate

Accepted Answer

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

Question 19

When using the standard error of estimate for establishing a confidence interval of .99, then a t ratio for an alpha of

Accepted Answer

A)  +1.00 should be used 
B)  .05 should be used 
C)  .99 should be used 
D)  .01 should be used 
A)  +1.00 should be used 
B)  .05 should be used 
C)  .99 should be used 
D)  .01 should be used

Question 20

The multiple R is used to assess the strength of the combined correlations among three or more variables.

Accepted Answer

A) True 
 B)False

The regression equation of Y on X

When using the standard error of estimate for establishing the confidence interval at .95, then a t ratio for an alpha of

The discovery of the regression phenomenon is credited to

Use the following: Assume a significant XY correlation of .60 and a sample size of 62. The mean of X equals 14.00, and the mean of Y equals 2.00. The estimated sd of the sample X equals 3.00 and the estimated sd of Y equals .80. -14-88. Predict a Y value for a known X value of 10.00.

When high scores on X associate with low scores on Y, the regression line

The higher the correlation between X and Y, then

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. -Find the .99 confidence interval for the predicted Y value.

The standard error of estimate may never assume a negative value.

The value for ry1.2 provides information regarding

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. -Calculate the standard error of estimate. 247

If X correlates .95 with Y, then Y correlates .95 with X.

The most efficient use of the multiple R is when

According to the regression concept, the children of very tall parents

When the correlation between X and Y is equal to zero, then the only possible value that the Y pred. may take on is

When the correlation between X and Y equals zero, the standard error of estimate

When using the standard error of estimate for establishing a confidence interval of .99, then a t ratio for an alpha of

The multiple R is used to assess the strength of the combined correlations among three or more variables.

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters

Exam 14: Regression Analysis

The regression equation of Y on X

When using the standard error of estimate for establishing the confidence interval at .95, then a t ratio for an alpha of

The discovery of the regression phenomenon is credited to

Use the following: Assume a significant XY correlation of .60 and a sample size of 62. The mean of X equals 14.00, and the mean of Y equals 2.00. The estimated sd of the sample X equals 3.00 and the estimated sd of Y equals .80. -14-88. Predict a Y value for a known X value of 10.00.

When high scores on X associate with low scores on Y, the regression line

The higher the correlation between X and Y, then

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. -Find the .99 confidence interval for the predicted Y value.

The standard error of estimate may never assume a negative value.

The value for ry1.2 provides information regarding

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. -Calculate the standard error of estimate. 247

If X correlates .95 with Y, then Y correlates .95 with X.

The most efficient use of the multiple R is when

According to the regression concept, the children of very tall parents

When the correlation between X and Y is equal to zero, then the only possible value that the Y pred. may take on is

When the correlation between X and Y equals zero, the standard error of estimate

When using the standard error of estimate for establishing a confidence interval of .99, then a t ratio for an alpha of

The multiple R is used to assess the strength of the combined correlations among three or more variables.

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters