Question 1

The following residuals plot indicates _______________.

Accepted Answer

A) a nonlinear relation 
B) a nonconstant error variance 
C) the simple regression assumptions are met 
D) the sample is biased 
E) a random sample 
A) a nonlinear relation 
B) a nonconstant error variance 
C) the simple regression assumptions are met 
D) the sample is biased 
E) a random sample

Question 2

In the regression equation, ŷ=5.23+2.74x and n=24, the mean of x is 12.56, SSxx=55.87 and Se=10.71.A 90% confidence interval for y when x=11 is _________

Accepted Answer

A) (2.74, 5.23) 
B) (35.37, 70.74) 
C) (16.21, 54.53) 
D) (12.56, 55.87) 
E) (30.00, 40.74) 
A) (2.74, 5.23) 
B) (35.37, 70.74) 
C) (16.21, 54.53) 
D) (12.56, 55.87) 
E) (30.00, 40.74)

Question 3

Data points that lie apart from the rest of the points are called deviants.

Accepted Answer

A) True 
 B)False

Question 4

The following data is to be used to construct a regression model: $$\begin{array} { r l l l l l l } 
x & 7 & 5 & 7 & 4 & 8 & 10&5 \
\gamma & 5 & 4 & 5 & 4 & 7 & 10&8
\end{array}$$ The value of the intercept is ________.

Accepted Answer

A) 16.49 
B) 1.19 
C) 1.43 
D) 0.75 
E) 1.30 
A) 16.49 
B) 1.19 
C) 1.43 
D) 0.75 
E) 1.30

Question 5

In the regression equation, ŷ = 49.56 + 0.97x, the slope is _______.

Accepted Answer

A) 0.97 
B) 49.56 
C) 1.00 
D) 0.00 
E) -0.97 
A) 0.97 
B) 49.56 
C) 1.00 
D) 0.00 
E) -0.97

Question 6

A simple regression model developed for 12 pairs of data resulted in a sum of squares of error, SSE = 246.The standard error of the estimate is _______.

Accepted Answer

A) 24.6 
B) 4.96 
C) 20.5 
D) 4.53 
E) 12.3 
A) 24.6 
B) 4.96 
C) 20.5 
D) 4.53 
E) 12.3

Question 7

The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

Accepted Answer

A) sum of squares error 
B) coefficient of correlation 
C) coefficient of determination 
D) covariance 
E) regression sum of squares 
A) sum of squares error 
B) coefficient of correlation 
C) coefficient of determination 
D) covariance 
E) regression sum of squares

Question 8

Louis Katz, a cost accountant at Papalote Plastics, Inc.(PPI), is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables.   $\begin{array}{|c|c|c|c|c|}
\hline \text { Soures } & \text { df } & \text { SS } & \text { MS } & F \
\hline \text { Regressjum } & 1 & 9.858769 & 9.858768 & 12.2234 \
\hline \text { Retidual } & 11 & 8.872 & 0.806545 & \
\hline \text { Thtal } & 12 & 78.7077 & &\
\hline
\end{array}$ $$\begin{array} { | c | } 
\hline S _ { 8 } = 0.898 \
\hline r ^ { 2 } = 0.526341 \
\hline
\end{array}$$ Using $\alpha$ = 0.05, Louis should ________________.

Accepted Answer

A) increase the sample size 
B) suspend judgment 
C) not reject H0: $\beta$1 = 0 
D) reject H0: $\beta$1 = 0 
E) not reject H0: $\beta$0 = 0 
A) increase the sample size 
B) suspend judgment 
C) not reject H0: $\beta$1 = 0 
D) reject H0: $\beta$1 = 0 
E) not reject H0: $\beta$0 = 0

Question 9

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: ŷ = 2,000 + 0.42x.If a car is driven 20,000 miles, the predicted cost is ____________.

Accepted Answer

A) 10,400 
B) 20,000 
C) 2,840 
D) 6,200 
E) 6,750 
A) 10,400 
B) 20,000 
C) 2,840 
D) 6,200 
E) 6,750

Question 10

According to the following graphic, X and Y have _________.

Accepted Answer

A) strong negative correlation 
B) virtually no correlation 
C) strong positive correlation 
D) moderate negative correlation 
E) weak negative correlation 
A) strong negative correlation 
B) virtually no correlation 
C) strong positive correlation 
D) moderate negative correlation 
E) weak negative correlation

Question 11

The following data is to be used to construct a regression model: $$\begin{array} { l l l l l l l } 
x & 3 & 5 & 7 & 4 & 8 & 10 &9\
y & 5 & 4 & 5 & 4 & .7 & 10&8
\end{array}$$ The value of the slope is ____________.

Accepted Answer

A) 16.49 
B) 1.19 
C) 1.43 
D) 0.75 
E) 1.30 
A) 16.49 
B) 1.19 
C) 1.43 
D) 0.75 
E) 1.30

The following residuals plot indicates _______________.

In the regression equation, ŷ=5.23+2.74x and n=24, the mean of x is 12.56, SS_xx=55.87 and S_e=10.71.A 90% confidence interval for y when x=11 is _________

Data points that lie apart from the rest of the points are called deviants.

The following data is to be used to construct a regression model: x 7 5 7 4 8 10 5 \gamma 5 4 5 4 7 10 8 The value of the intercept is ________.

In the regression equation, ŷ = 49.56 + 0.97x, the slope is _______.

A simple regression model developed for 12 pairs of data resulted in a sum of squares of error, SSE = 246.The standard error of the estimate is _______.

The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

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: ŷ = 2,000 + 0.42x.If a car is driven 20,000 miles, the predicted cost is ____________.

According to the following graphic, X and Y have _________.

The following data is to be used to construct a regression model: x 3 5 7 4 8 10 9 y 5 4 5 4 .7 10 8 The value of the slope is ____________.

Introduction to Statistics and Business Analytics

Visualizing Data With 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

Analysis 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 following residuals plot indicates _______________.

In the regression equation, ŷ=5.23+2.74x and n=24, the mean of x is 12.56, SSxx=55.87 and Se=10.71.A 90% confidence interval for y when x=11 is _________

Data points that lie apart from the rest of the points are called deviants.

The following data is to be used to construct a regression model: x 7 5 7 4 8 10 5 \gamma 5 4 5 4 7 10 8 The value of the intercept is ________.

In the regression equation, ŷ = 49.56 + 0.97x, the slope is _______.

A simple regression model developed for 12 pairs of data resulted in a sum of squares of error, SSE = 246.The standard error of the estimate is _______.

The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

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: ŷ = 2,000 + 0.42x.If a car is driven 20,000 miles, the predicted cost is ____________.

According to the following graphic, X and Y have _________.

The following data is to be used to construct a regression model: x 3 5 7 4 8 10 9 y 5 4 5 4 .7 10 8 The value of the slope is ____________.

Introduction to Statistics and Business Analytics

Visualizing Data With 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

Analysis 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

In the regression equation, ŷ=5.23+2.74x and n=24, the mean of x is 12.56, SS_xx=55.87 and S_e=10.71.A 90% confidence interval for y when x=11 is _________