Question 1

For regression purposes, it is customary to assign Y to the predicted variable.

Accepted Answer

A) True 
 B)False

Question 2

When the relation between X and Y is imperfect, the prediction of Y given X is _________.

Accepted Answer

A)  perfect 
B)  always equal to Y 
C)  impossible to determine 
D)  approximate 
A)  perfect 
B)  always equal to Y 
C)  impossible to determine 
D)  approximate

Question 3

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded.   The value for the standard error of estimate in predicting % fat from daily exercise is _________.

Accepted Answer

A)  3.35 
B)  4.32 
C)  2.14 
D)  1.66 
E)  none of these 
A)  3.35 
B)  4.32 
C)  2.14 
D)  1.66 
E)  none of these

Question 4

If   = 57.2,   = 84.6, and b Y = 0.37, the value of a Y = _________.

Accepted Answer

A)  141.80 
B)  -25.90 
C)  63.44 
D)  27.40 
A)  141.80 
B)  -25.90 
C)  63.44 
D)  27.40

Question 5

In the regression equation Y' = X , the Y -intercept is _________.

Accepted Answer

A)    
B)    
C)  0 
D)  1 
A)    
B)    
C)  0 
D)  1

Question 6

Multiple regression always results in greater prediction accuracy than simple regression.

Accepted Answer

A) True 
 B)False

Question 7

If the standard deviations of the X and Y distributions are equal, then r = b Y .

Accepted Answer

A) True 
 B)False

Question 8

Which of the following statements is(are) false?

Accepted Answer

A)  b Y is the slope of the line for minimizing errors in predicting Y . 
B)  a Y is the Y axis intercept for minimizing errors in predicting Y. 
C)  s YIX is the standard error of estimate for predicting Y given X . 
D)  All of these statements are true. 
E)  R 2 is the multiple coefficient of nondetermination. 
A)  b Y is the slope of the line for minimizing errors in predicting Y . 
B)  a Y is the Y axis intercept for minimizing errors in predicting Y. 
C)  s YIX is the standard error of estimate for predicting Y given X . 
D)  All of these statements are true. 
E)  R 2 is the multiple coefficient of nondetermination.

Question 9

The least squares regression line insures the maximum number of direct hits.

Accepted Answer

A) True 
 B)False

Question 10

If the standard error of estimate for relationship 1 equals 5.26 and for relationship 2 it equals 8.01 then we can reasonably infer that relationship 2 is less perfect than relationship 1.

Accepted Answer

A) True 
 B)False

Question 11

S ( Y - Y' ) 2 represents _________.

Accepted Answer

A)  the standard deviation 
B)  the variance 
C)  the standard error of estimate 
D)  the total error of prediction 
A)  the standard deviation 
B)  the variance 
C)  the standard error of estimate 
D)  the total error of prediction

Question 12

What is the linear regression equation for predicting Y given X for the following pairs of scores:

Accepted Answer

The answer of What is the linear regression equation for...

Question 13

If X and Y are plotted as standard ( z ) scores, then r equals the slope of the resulting regression line.

Accepted Answer

A) True 
 B)False

Question 14

The value a Y is the X axis intercept for minimizing errors in Y .

Accepted Answer

A) True 
 B)False

Question 15

When predicting Y , adding a second predictor variable to the first predictor variable X , will _______.

Accepted Answer

A)  always increase prediction accuracy 
B)  increase prediction accuracy depending on the relationship between the second predictor variable and X 
C)  Increase prediction accuracy depending on the relationship between the second predictor variable and Y 
D)  b and c 
A)  always increase prediction accuracy 
B)  increase prediction accuracy depending on the relationship between the second predictor variable and X 
C)  Increase prediction accuracy depending on the relationship between the second predictor variable and Y 
D)  b and c

Question 16

A psychologist wanted to use a locus of control test to predict scores on a depression scale. The following data were summarized for the relationship between the locus of control and depression scale: ΣX = 62, ΣX 2 = 1022, ΣY = 70, ΣY 2 = 1234, Σ XY = 1107, N = 4

Accepted Answer

Question 17

Consider the following set of points for variable X and variable Y :

Accepted Answer

The answer of Consider the following set of points for...

Question 18

If X and Y are transformed into z scores, and the slope of the regression line of the z scores is - 0.80, what is the value of the correlation coefficient?

Accepted Answer

A)  - 0.80 
B)  0.80 
C)  0.40 
D)  - 0.40 
A)  - 0.80 
B)  0.80 
C)  0.40 
D)  - 0.40

Question 19

If the regression line is parallel to the X axis then the slope of the regression line equals 0.

Accepted Answer

A) True 
 B)False

Question 20

If the value for a Y is negative, the relationship between X and Y is _________.

Accepted Answer

A)  positive 
B)  negative 
C)  inverse 
D)  cannot be determined from information given 
A)  positive 
B)  negative 
C)  inverse 
D)  cannot be determined from information given

For regression purposes, it is customary to assign Y to the predicted variable.

When the relation between X and Y is imperfect, the prediction of Y given X is _________.

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded. The value for the standard error of estimate in predicting % fat from daily exercise is _________.

If = 57.2, = 84.6, and b Y = 0.37, the value of a Y = _________.

In the regression equation Y' = X , the Y -intercept is _________.

Multiple regression always results in greater prediction accuracy than simple regression.

If the standard deviations of the X and Y distributions are equal, then r = b Y .

Which of the following statements is(are) false?

The least squares regression line insures the maximum number of direct hits.

If the standard error of estimate for relationship 1 equals 5.26 and for relationship 2 it equals 8.01 then we can reasonably infer that relationship 2 is less perfect than relationship 1.

S ( Y - Y' ) 2 represents _________.

What is the linear regression equation for predicting Y given X for the following pairs of scores:

If X and Y are plotted as standard ( z ) scores, then r equals the slope of the resulting regression line.

The value a Y is the X axis intercept for minimizing errors in Y .

When predicting Y , adding a second predictor variable to the first predictor variable X , will _______.

A psychologist wanted to use a locus of control test to predict scores on a depression scale. The following data were summarized for the relationship between the locus of control and depression scale: ΣX = 62, ΣX ²= 1022, ΣY = 70, ΣY ² = 1234, Σ XY = 1107, N = 4

Consider the following set of points for variable X and variable Y :

If X and Y are transformed into z scores, and the slope of the regression line of the z scores is - 0.80, what is the value of the correlation coefficient?

If the regression line is parallel to the X axis then the slope of the regression line equals 0.

If the value for a Y is negative, the relationship between X and Y is _________.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

Exam 7: Linear Regression

For regression purposes, it is customary to assign Y to the predicted variable.

When the relation between X and Y is imperfect, the prediction of Y given X is _________.

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded. The value for the standard error of estimate in predicting % fat from daily exercise is _________.

If = 57.2, = 84.6, and b Y = 0.37, the value of a Y = _________.

In the regression equation Y' = X , the Y -intercept is _________.

Multiple regression always results in greater prediction accuracy than simple regression.

If the standard deviations of the X and Y distributions are equal, then r = b Y .

Which of the following statements is(are) false?

The least squares regression line insures the maximum number of direct hits.

If the standard error of estimate for relationship 1 equals 5.26 and for relationship 2 it equals 8.01 then we can reasonably infer that relationship 2 is less perfect than relationship 1.

S ( Y - Y' ) 2 represents _________.

What is the linear regression equation for predicting Y given X for the following pairs of scores:

If X and Y are plotted as standard ( z ) scores, then r equals the slope of the resulting regression line.

The value a Y is the X axis intercept for minimizing errors in Y .

When predicting Y , adding a second predictor variable to the first predictor variable X , will _______.

A psychologist wanted to use a locus of control test to predict scores on a depression scale. The following data were summarized for the relationship between the locus of control and depression scale: ΣX = 62, ΣX 2 = 1022, ΣY = 70, ΣY 2 = 1234, Σ XY = 1107, N = 4

Consider the following set of points for variable X and variable Y :

If X and Y are transformed into z scores, and the slope of the regression line of the z scores is - 0.80, what is the value of the correlation coefficient?

If the regression line is parallel to the X axis then the slope of the regression line equals 0.

If the value for a Y is negative, the relationship between X and Y is _________.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Correlation

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

A psychologist wanted to use a locus of control test to predict scores on a depression scale. The following data were summarized for the relationship between the locus of control and depression scale: ΣX = 62, ΣX ²= 1022, ΣY = 70, ΣY ² = 1234, Σ XY = 1107, N = 4