Question 1

In backward selection stepwise regression with ten predictor variables,which of the following statements is correct?

Accepted Answer

A)  The procedure starts with 10 predictor variables and eliminate one predictor at each iteration. 
B)  The procedure starts with 2 predictor variables and add one predictor at each iteration. 
C)  The procedure starts with 1 predictor variables and add one predictor at each iteration. 
D)  The procedure starts with no predictor variables and add one predictor at each iteration. 
A)  The procedure starts with 10 predictor variables and eliminate one predictor at each iteration. 
B)  The procedure starts with 2 predictor variables and add one predictor at each iteration. 
C)  The procedure starts with 1 predictor variables and add one predictor at each iteration. 
D)  The procedure starts with no predictor variables and add one predictor at each iteration.

Question 2

The regression model $\hat { Y }$ = 180 + 6x1 - 2x2 has been fitted to a set of data.If x2 = 10,what will be the effect on $\hat { Y }$ if x1 increases by 1 unit? $\hat{ Y }$ will ____________________ by ____________________

Accepted Answer

Question 3

Multicollinearity in a regression model can be detected when

Accepted Answer

A)  two or more independent variables are highly correlated with each other. 
B)  an independent variable known to be an important predictor ends up having a partial regression coefficient that is not significant. 
C)  a partial regression coefficient that should be positive turns out to be negative,or vise versa. 
D)  when an independent variable is added or removed ,the partial regression coefficients for the other independent variables change drastically. 
E)  All of the above could be evidence that multicollinearity is present in the model. 
A)  two or more independent variables are highly correlated with each other. 
B)  an independent variable known to be an important predictor ends up having a partial regression coefficient that is not significant. 
C)  a partial regression coefficient that should be positive turns out to be negative,or vise versa. 
D)  when an independent variable is added or removed ,the partial regression coefficients for the other independent variables change drastically. 
E)  All of the above could be evidence that multicollinearity is present in the model.

In backward selection stepwise regression with ten predictor variables,which of the following statements is correct?

The regression model $\hat { Y }$ = 180 + 6x₁ - 2x₂ has been fitted to a set of data.If x₂ = 10,what will be the effect on $\hat { Y }$ if x₁ increases by 1 unit? $\hat{ Y }$ will by

Multicollinearity in a regression model can be detected when

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Data Collection and Sampling Methods

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Models for Time Series and Forecasting

Decision Theory

Total Quality Management

Filters

Exam 17: Model Building

In backward selection stepwise regression with ten predictor variables,which of the following statements is correct?

The regression model Y^\hat { Y }Y^ = 180 + 6x1 - 2x2 has been fitted to a set of data.If x2 = 10,what will be the effect on Y^\hat { Y }Y^ if x1 increases by 1 unit? Y^\hat{ Y }Y^ will ____________________ by ____________________

Multicollinearity in a regression model can be detected when

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Data Collection and Sampling Methods

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Models for Time Series and Forecasting

Decision Theory

Total Quality Management

Filters

The regression model $\hat { Y }$ = 180 + 6x₁ - 2x₂ has been fitted to a set of data.If x₂ = 10,what will be the effect on $\hat { Y }$ if x₁ increases by 1 unit? $\hat{ Y }$ will by