Question 1

The degrees of freedom associated with the estimated standard deviation,se , is n - 1.

Accepted Answer

A) True 
 B)False  False

Question 2

The simple linear regression model is a deterministic model.

Accepted Answer

A) True 
 B)False  False

Question 3

The general form of a probabilistic model is y = deterministic function of x+ random deviation.

Accepted Answer

A) True 
 B)False  True

Question 4

A deterministic relationship between variables x and y is one in which thevalue of y is completely determined by the value of x.

Accepted Answer

A) True 
 B)False

Question 5

In the simple linear regression model, the error distribution is assumed tobe a t distribution.

Accepted Answer

A) True 
 B)False

Question 6

In the simple linear regression model, the value of   depends on thevalue of x.

Accepted Answer

A) True 
 B)False

Question 7

Accepted Answer

A) True 
 B)False

Question 8

The mean value of the statistic b is ?.

Accepted Answer

A) True 
 B)False

Question 9

What are the four "Basic Assumptions" of the simple linear regression model?

Accepted Answer

The distribution of e at any particular

Question 10

The estimated standard deviation, se , can be thought of as a typicaldeviation from the least squares regression line.

Accepted Answer

A) True 
 B)False

Question 11

A residual plot with spread increasing from left to right suggests that thevariance of y is not the same at each x value.

Accepted Answer

A) True 
 B)False

Question 12

Either residuals or standardized residuals can be used when checkingassumptions associated with the linear model.

Accepted Answer

A) True 
 B)False

The degrees of freedom associated with the estimated standard deviation,s_e , is n - 1.

The simple linear regression model is a deterministic model.

The general form of a probabilistic model is y = deterministic function of x+ random deviation.

A deterministic relationship between variables x and y is one in which thevalue of y is completely determined by the value of x.

In the simple linear regression model, the error distribution is assumed tobe a t distribution.

In the simple linear regression model, the value of depends on thevalue of x.

The mean value of the statistic b is ?.

What are the four "Basic Assumptions" of the simple linear regression model?

The estimated standard deviation, s_e , can be thought of as a typicaldeviation from the least squares regression line.

A residual plot with spread increasing from left to right suggests that thevariance of y is not the same at each x value.

Either residuals or standardized residuals can be used when checkingassumptions associated with the linear model.

Collecting Data in Reasonable Ways

Graphical Methods for

Numerical Methods for

Describing Bivariate Numerical Data

Probability

Random Variables and

Selecting an Appropriate Method

Sampling Variability Sampling

Estimation Using a Single Sample

Asking and Answering Questions About a Population Proportion

Asking and Answering Questions About the Difference Between Two Population Proportions

Asking and Answering Questions About a Population Mean

Asking and Answering Questions About the Difference Between Two Means

Learning From Experiment Data

Learning From Categorical Data

Filters

Exam 16: Understanding Relationships Numerical

The degrees of freedom associated with the estimated standard deviation,se , is n - 1.

The simple linear regression model is a deterministic model.

The general form of a probabilistic model is y = deterministic function of x+ random deviation.

A deterministic relationship between variables x and y is one in which thevalue of y is completely determined by the value of x.

In the simple linear regression model, the error distribution is assumed tobe a t distribution.

In the simple linear regression model, the value of depends on thevalue of x.

The mean value of the statistic b is ?.

What are the four "Basic Assumptions" of the simple linear regression model?

The estimated standard deviation, se , can be thought of as a typicaldeviation from the least squares regression line.

A residual plot with spread increasing from left to right suggests that thevariance of y is not the same at each x value.

Either residuals or standardized residuals can be used when checkingassumptions associated with the linear model.

Collecting Data in Reasonable Ways

Graphical Methods for

Numerical Methods for

Describing Bivariate Numerical Data

Probability

Random Variables and

Selecting an Appropriate Method

Sampling Variability Sampling

Estimation Using a Single Sample

Asking and Answering Questions About a Population Proportion

Asking and Answering Questions About the Difference Between Two Population Proportions

Asking and Answering Questions About a Population Mean

Asking and Answering Questions About the Difference Between Two Means

Learning From Experiment Data

Learning From Categorical Data

Filters

The degrees of freedom associated with the estimated standard deviation,s_e , is n - 1.

The estimated standard deviation, s_e , can be thought of as a typicaldeviation from the least squares regression line.