Question 1

The regression coefficient for predicting Y given X is symbolized by _______

Accepted Answer

A)  b Y 
B)  a Y 
C)  b X 
D)  a X 
A)  b Y 
B)  a Y 
C)  b X 
D)  a X

Question 2

During the past 5 years there has been an inflationary trend. Listed below is the average cost of a gallon of milk for each year.   Assuming a linear relationship exists, and that the relationship continues unchanged through 1986, what would you predict for the average cost of a gallon of milk in 1986?

Accepted Answer

A)  $1.77 
B)  $1.72 
C)  $1.70 
D)  $1.83 
A)  $1.77 
B)  $1.72 
C)  $1.70 
D)  $1.83

Question 3

Multiple regression uses more than one predictor variable.

Accepted Answer

A) True 
 B)False

Question 4

The points (0,5) and (5,10) fall on the regression line for a perfect positive linear relationship. What is the regression equation for this relationship?

Accepted Answer

A)  Y' = X + 5 
B)  Y' = 5 X 
C)  Y' = 5 X + 10 
D)  cannot be determined from information given. 
A)  Y' = X + 5 
B)  Y' = 5 X 
C)  Y' = 5 X + 10 
D)  cannot be determined from information given.

Question 5

The regression equation most often used in psychology minimizes _________.

Accepted Answer

A)  Σ( Y - Y' ) 
B)  Σ( Y - Y' ) 2 
C)  Σ( Y - X ) 2 
D)    
E)  none of these 
A)  Σ( Y - Y' ) 
B)  Σ( Y - Y' ) 2 
C)  Σ( Y - X ) 2 
D)    
E)  none of these

Question 6

The total error in prediction equals S ( Y - Y').

Accepted Answer

A) True 
 B)False

Question 7

Pearson r is the slope of the least squares regression line when the scores are plotted as z scores.

Accepted Answer

A) True 
 B)False

Question 8

A hospital administrator wanted to predict the number of patients her hospital would admit in 1990. The following data were obtained from past records:

Accepted Answer

The answer of A hospital administrator wanted to predict the...

Question 9

In multiple regression, if the second predictor variable correlates highly with the predicted variable, than it is quite likely that _________.

Accepted Answer

A)  R 2 = 1.00 
B)  R 2 > r 2 
C)  R 2 = r 2 
D)  R 2 r 2 
A)  R 2 = 1.00 
B)  R 2 > r 2 
C)  R 2 = r 2 
D)  R 2 r 2

Question 10

Using a second predictor variable always increases the accuracy of prediction.

Accepted Answer

A) True 
 B)False

Question 11

If the correlation between two variables is 1.00, the standard error of estimate equals 0.

Accepted Answer

A) True 
 B)False

Question 12

Draw a graph of aptitude test score versus grade point average and construct the regression line for the line Y' = .005 X + 1.2.

Accepted Answer

To draw a graph of aptitude test score v

Question 13

Define standard error of estimate.

Accepted Answer

The standard error of the estimate, ofte

Question 14

What would you predict for the value of Y for the point where the value of X is   ?

Accepted Answer

A)  cannot be determined from information given 
B)  0 
C)  1 
D)    
A)  cannot be determined from information given 
B)  0 
C)  1 
D)

Question 15

You go to a carnival and a sideshow performer wants to bet you $100 that he can guess your exact weight just from knowing your height. It turns out that there is the following relationship between height and weight.   Should you accept the performers bet? Explain.

Accepted Answer

A)  yes 
B)  need more information 
C)  no 
D)  yes, if he measures my height in centimeters 
A)  yes 
B)  need more information 
C)  no 
D)  yes, if he measures my height in centimeters

Question 16

Define regression constant.

Accepted Answer

The regression constant, often referred

Question 17

Define multiple coefficient of determination.

Accepted Answer

The multiple coefficient of determinatio

Question 18

If N = 8, ΣX = 160, ΣX 2 = 4656, ΣY = 79, Σ Y 2 = 1309, and ΣXY = 2430, what is the value of b Y ?

Accepted Answer

A)  0.9217 
B)  - 1.8010 
C)  0.5838 
D)  0.7922 
A)  0.9217 
B)  - 1.8010 
C)  0.5838 
D)  0.7922

Question 19

Define regression of Y on X.

Accepted Answer

Regression of Y on X refers to the stati

Question 20

When there are two predictor variables, R 2 is the simple sum of r 2 for the relationship of the first predictor variable and Y and r 2 for the relationship of the second predictor variable and Y .

Accepted Answer

A) True 
 B)False

The regression coefficient for predicting Y given X is symbolized by _______

Multiple regression uses more than one predictor variable.

The points (0,5) and (5,10) fall on the regression line for a perfect positive linear relationship. What is the regression equation for this relationship?

The regression equation most often used in psychology minimizes _________.

The total error in prediction equals S ( Y - Y').

Pearson r is the slope of the least squares regression line when the scores are plotted as z scores.

A hospital administrator wanted to predict the number of patients her hospital would admit in 1990. The following data were obtained from past records:

In multiple regression, if the second predictor variable correlates highly with the predicted variable, than it is quite likely that _________.

Using a second predictor variable always increases the accuracy of prediction.

If the correlation between two variables is 1.00, the standard error of estimate equals 0.

Draw a graph of aptitude test score versus grade point average and construct the regression line for the line Y' = .005 X + 1.2.

Define standard error of estimate.

What would you predict for the value of Y for the point where the value of X is ?

You go to a carnival and a sideshow performer wants to bet you $100 that he can guess your exact weight just from knowing your height. It turns out that there is the following relationship between height and weight. Should you accept the performers bet? Explain.

Define regression constant.

Define multiple coefficient of determination.

If N = 8, ΣX = 160, ΣX ² = 4656, ΣY = 79, Σ Y ²= 1309, and ΣXY = 2430, what is the value of b Y ?

Define regression of Y on X.

When there are two predictor variables, R ² is the simple sum of r ² for the relationship of the first predictor variable and Y and r ² for the relationship of the second predictor variable and Y .

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

The regression coefficient for predicting Y given X is symbolized by _______

Multiple regression uses more than one predictor variable.

The points (0,5) and (5,10) fall on the regression line for a perfect positive linear relationship. What is the regression equation for this relationship?

The regression equation most often used in psychology minimizes _________.

The total error in prediction equals S ( Y - Y').

Pearson r is the slope of the least squares regression line when the scores are plotted as z scores.

A hospital administrator wanted to predict the number of patients her hospital would admit in 1990. The following data were obtained from past records:

In multiple regression, if the second predictor variable correlates highly with the predicted variable, than it is quite likely that _________.

Using a second predictor variable always increases the accuracy of prediction.

If the correlation between two variables is 1.00, the standard error of estimate equals 0.

Draw a graph of aptitude test score versus grade point average and construct the regression line for the line Y' = .005 X + 1.2.

Define standard error of estimate.

What would you predict for the value of Y for the point where the value of X is ?

You go to a carnival and a sideshow performer wants to bet you $100 that he can guess your exact weight just from knowing your height. It turns out that there is the following relationship between height and weight. Should you accept the performers bet? Explain.

Define regression constant.

Define multiple coefficient of determination.

If N = 8, ΣX = 160, ΣX 2 = 4656, ΣY = 79, Σ Y 2 = 1309, and ΣXY = 2430, what is the value of b Y ?

Define regression of Y on X.

When there are two predictor variables, R 2 is the simple sum of r 2 for the relationship of the first predictor variable and Y and r 2 for the relationship of the second predictor variable and Y .

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

If N = 8, ΣX = 160, ΣX ² = 4656, ΣY = 79, Σ Y ²= 1309, and ΣXY = 2430, what is the value of b Y ?

When there are two predictor variables, R ² is the simple sum of r ² for the relationship of the first predictor variable and Y and r ² for the relationship of the second predictor variable and Y .