Question 1

The variability in the estimated slope is smaller when the x-values are more spread out.

Accepted Answer

A) True 
 B)False

Question 2

-In the regression equation,y = 54.78 + 1.45x,the intercept is _______.

Accepted Answer

A)  1.45 
B)  -1.45 
C)  54.78 
D)  -54.78 
E)  0.00 
A)  1.45 
B)  -1.45 
C)  54.78 
D)  -54.78 
E)  0.00

Question 3

A simple regression model for 10 pair of data resulted in a standard error of 3.95 ,and the.The sum of squares of error (SSE)is ______.

Accepted Answer

A)  187.23 
B)  171.63 
C)  156.03 
D)  140.42 
E)  124.82 
A)  187.23 
B)  171.63 
C)  156.03 
D)  140.42 
E)  124.82

Question 4

A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven. The following model was developed: y = 2,000 + 0.42x.If a car is driven 30,000 miles,the predicted cost is _____________.

Accepted Answer

A)  10,400 
B)  14,600 
C)  2,000 
D)  32,000 
E)  10,250 
A)  10,400 
B)  14,600 
C)  2,000 
D)  32,000 
E)  10,250

Question 5

The coefficient of correlation in a simple regression analysis is = - 0.6.The coefficient of determination for this regression would be _______.

Accepted Answer

A)  0.6 
B)  - 0.6 or + 0.6 
C)  0.13 
D)  - 0.36 
E)  0.36 
A)  0.6 
B)  - 0.6 or + 0.6 
C)  0.13 
D)  - 0.36 
E)  0.36

Question 6

Suppose you compute the correlation coefficient between two variables,X and Y,and obtain a value of 0.55.Then you realize that all the values for both variables have been corrupted in a way that their actual sign has been changed (positive values were turned into negative values and vice versa; only the signs have been changed).Then the actual,corrected value of the correlation coefficient ______.

Accepted Answer

A)  is −0.55 
B)  remains unchanged 
C)  changes but there is not enough information to determine the correct value 
D)  is 0 
E)  is 0.50 
A)  is −0.55 
B)  remains unchanged 
C)  changes but there is not enough information to determine the correct value 
D)  is 0 
E)  is 0.50

The variability in the estimated slope is smaller when the x-values are more spread out.

-In the regression equation,y = 54.78 + 1.45x,the intercept is _______.

A simple regression model for 10 pair of data resulted in a standard error of 3.95 ,and the.The sum of squares of error (SSE)is ______.

A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven. The following model was developed: y = 2,000 + 0.42x.If a car is driven 30,000 miles,the predicted cost is _____________.

The coefficient of correlation in a simple regression analysis is = - 0.6.The coefficient of determination for this regression would be _______.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

A Nalysis of Variance and Design of Experiments

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 12: Simple Regression Analysis and Correlation

The variability in the estimated slope is smaller when the x-values are more spread out.

-In the regression equation,y = 54.78 + 1.45x,the intercept is _______.

A simple regression model for 10 pair of data resulted in a standard error of 3.95 ,and the.The sum of squares of error (SSE)is ______.

A manager wishes to predict the annual cost (y)of an automobile based on the number of miles (x)driven. The following model was developed: y = 2,000 + 0.42x.If a car is driven 30,000 miles,the predicted cost is _____________.

The coefficient of correlation in a simple regression analysis is = - 0.6.The coefficient of determination for this regression would be _______.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

A Nalysis of Variance and Design of Experiments

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters