Question 1

If the dependent variable is an ordinal scale,then the proper regression model to use is the

Accepted Answer

A)  linear regression model with geometric transformation of the dependent variable 
B)  ordered probit model 
C)  ordered logit model 
D)  any of the above 
E)  either b or c 
A)  linear regression model with geometric transformation of the dependent variable 
B)  ordered probit model 
C)  ordered logit model 
D)  any of the above 
E)  either b or c D

Question 2

Regression presumes the following theoretical model for the population:
 $$Y = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 2 } + \ldots + \beta _ { k } X _ { k } + \varepsilon$$ 
where Y is the dependent variable,the Xs are the independent variables,the ?s are the coefficients of the independent variables,and ? is the error.

Accepted Answer

A) True 
 B)False  True

Question 3

Which list of common variables below would be examples of continuous data?

Accepted Answer

A)  price, time, volume, length, sales 
B)  gender, coupon used, college degree, promotion (yes/no) 
C)  education level, age group, survey scale response (e.g., 1 to 7) 
D)  ethnic group, product category, SKU, payment method 
A)  price, time, volume, length, sales 
B)  gender, coupon used, college degree, promotion (yes/no) 
C)  education level, age group, survey scale response (e.g., 1 to 7) 
D)  ethnic group, product category, SKU, payment method A

Question 4

-The regression output above indicates that an additional year in age increases the chance a respondent is male by

Accepted Answer

A)  11 percent 
B)  17.1 percent 
C)  0.61 percent 
D)  15.8 percent 
A)  11 percent 
B)  17.1 percent 
C)  0.61 percent 
D)  15.8 percent

Question 5

Predicting one dependent variable based on many independent variables is called

Accepted Answer

A)  simple linear regression 
B)  bivariate regression 
C)  multiple regression 
D)  multinomial regression 
A)  simple linear regression 
B)  bivariate regression 
C)  multiple regression 
D)  multinomial regression

Question 6

In multiple regression,the intercept is the value of Y when

Accepted Answer

A)  all of the independent variables are 0 
B)  the dependent variables is 0 
C)  all of the significant independent variables are set to 1 
D)  all of the coefficients are set to 1 
A)  all of the independent variables are 0 
B)  the dependent variables is 0 
C)  all of the significant independent variables are set to 1 
D)  all of the coefficients are set to 1

Question 7

-Based on the output above,the LOGIT model correctly predicted the female gender

Accepted Answer

A)  87 percent of the time 
B)  91.3 percent of the time 
C)  89.5 percent of the time 
D)  cannot be determined 
A)  87 percent of the time 
B)  91.3 percent of the time 
C)  89.5 percent of the time 
D)  cannot be determined

Question 8

Describe the different types of analysis for the different data types of dependent variable.

Accepted Answer

•For continuous or interval data,multipl

Question 9

-The regression output above indicates that a 1 inch increase in Height increases the chance a respondent is male by

Accepted Answer

A)  39.1 percent 
B)  8.2 percent 
C)  22.669 percent 
D)  47.8 percent 
A)  39.1 percent 
B)  8.2 percent 
C)  22.669 percent 
D)  47.8 percent

Question 10

Standardized residuals are used to determine if there are any potential outliers in the data.Data points that are greater that have residuals higher than _______________ in magnitude should be examined,unless the data set is very large.

Accepted Answer

A)  1 
B)  3 
C)  5 
D)  10 
A)  1 
B)  3 
C)  5 
D)  10

Question 11

_______________ occurs when a number of potential predictors in a regression model are highly correlated.

Accepted Answer

A)  Non-normality 
B)  Multicollinearity 
C)  Heteroscedasticity 
D)  Autocorrelation 
A)  Non-normality 
B)  Multicollinearity 
C)  Heteroscedasticity 
D)  Autocorrelation

Question 12

Describe what regression is and what it is used for.

Accepted Answer

Regression is:
1.a way to put a line thr

Question 13

Explain the problems of non-normality,heteroscedasticity,and autocorrelation and how researchers can detect each.

Accepted Answer

1.Non-normality occurs when the errors a

Question 14

To determine if a regression model is useful,the

Accepted Answer

A)  fit (or prediction) should be bigger, on average, than "error" 
B)  coefficients (the b's) should be clearly different from zero 
C)  p value should be greater than the F-test value 
D)  all of the above 
E)  both a and b 
A)  fit (or prediction) should be bigger, on average, than "error" 
B)  coefficients (the b's) should be clearly different from zero 
C)  p value should be greater than the F-test value 
D)  all of the above 
E)  both a and b

Question 15

A histogram will show if the data points are normally distributed.

Accepted Answer

A) True 
 B)False

Question 16

Use the regression output below to answer the following questions.
 Lingar Reperaidion Anthyis: Dep Var $( X ) =$ Weight 
$X = \{ A$ Ee, Gender, Heifht, MBA, $Y$ ear $\}$
$\begin{array}{||c|c|c|c|c|c|}
\hline \text { Coefficients } & \boldsymbol{b} & \begin{array}{c}
\text { Std. } \
\text { Error }
\end{array} & \begin{array}{c}
\text { Std. } \
\text { Beta }
\end{array} & \begin{array}{c}
\boldsymbol{t} \text {-test } \
\text { Statistic }
\end{array} & \begin{array}{c}
\boldsymbol{p} \text {-value } \
\text { Two Tailed }
\end{array} \
\hline \text { Intercept } & -210.603 & 20.560 & & -10.243 & 0.0000 \
\hline \text { Age } & 0.660 & 0.279 & 0.101 & 2.363 & 0.0186 \
\hline \text { Gender } & 17.449 & 2.450 & 0.267 & 7.122 & 0.0000 \
\hline \text { Height } & 4.999 & 0.294 & 0.613 & 16.982 & 0.0000 \
\hline \text { MBA } & -3.122 & 3.063 & -0.043 & -1.019 & 0.3087 \
\hline \text { Year } & -0.111 & 0.507 & -0.006 & -0.218 & 0.8274 \
\hline
\end{array}$
$\begin{array}{|c|c|c|c|c|}
\hline \boldsymbol{r} & \boldsymbol{r}^{2} & \text { Adj. } \boldsymbol{r}^{2} & \mathrm{SE}(\mathrm{Reg}) & \boldsymbol{h} \
\hline 0.834 & 0.696 & 0.693 & 17.879 & 448 \
\hline \hline
\end{array}$
$\begin{array}{|c|c|c|c|c|c|}
\hline \begin{array}{c}
\text { Source of } \
\text { Variation }
\end{array} & \begin{array}{c}
\text { Sum of } \
\text { Squares }
\end{array} & \boldsymbol{d f} & \begin{array}{c}
\text { Mean } \
\text { Squares }
\end{array} & \begin{array}{c}
\text { F-test } \
\text { Statistic }
\end{array} & \begin{array}{c}
\boldsymbol{p} \text {-value } \
\text { One Tailed }
\end{array} \
\hline \text { Regression } & 323592.24 & 5 & 64718.4 & 202.471 & 0.0000 \
\hline \text { Error } & 141282.23 & 442 & 319.643 & & \
\hline \text { Total } & 464874.47 & 447 & & & \
\hline
\end{array}$

-Given that Gender was coded female=0 and male=1,on the average,how much more do males weight than females,"correcting for" (i.e.,including the effects of)all the other variables in the regression?

Accepted Answer

The beta value for Gender is 17.449,indi

Question 17

$Y = a e ^ { b X }$ is the form of a geometric relationship.

Accepted Answer

A) True 
 B)False

Question 18

In binary regression,probability data for predicting binary variables is transformed using

Accepted Answer

A)  an exponential transformation 
B)  a geometric transformation 
C)  the logarithm of the odds 
D)  dummy variables 
A)  an exponential transformation 
B)  a geometric transformation 
C)  the logarithm of the odds 
D)  dummy variables

Question 19

The problem with heteroscedasticity is that researchers tend to be underconfident,i.e.they must make statements as if the data is worse than it actually is.

Accepted Answer

A) True 
 B)False

Question 20

The Breusch-Pagan test detects whether data is normally distributed.

Accepted Answer

A) True 
 B)False

If the dependent variable is an ordinal scale,then the proper regression model to use is the

Which list of common variables below would be examples of continuous data?

-The regression output above indicates that an additional year in age increases the chance a respondent is male by

Predicting one dependent variable based on many independent variables is called

In multiple regression,the intercept is the value of Y when

-Based on the output above,the LOGIT model correctly predicted the female gender

Describe the different types of analysis for the different data types of dependent variable.

-The regression output above indicates that a 1 inch increase in Height increases the chance a respondent is male by

Standardized residuals are used to determine if there are any potential outliers in the data.Data points that are greater that have residuals higher than _______________ in magnitude should be examined,unless the data set is very large.

_______________ occurs when a number of potential predictors in a regression model are highly correlated.

Describe what regression is and what it is used for.

Explain the problems of non-normality,heteroscedasticity,and autocorrelation and how researchers can detect each.

To determine if a regression model is useful,the

A histogram will show if the data points are normally distributed.

$Y = a e ^ { b X }$ is the form of a geometric relationship.

In binary regression,probability data for predicting binary variables is transformed using

The problem with heteroscedasticity is that researchers tend to be underconfident,i.e.they must make statements as if the data is worse than it actually is.

The Breusch-Pagan test detects whether data is normally distributed.

The Purpose and Process of Marketing Research

Research Design and Data Sources

Measurement in Marketing Research

Causal Designs and Marketing Experiments

Data Collection: Exploratory and Conclusive Research

Designing Surveys and Data Collection Instruments

Sampling

Data Analysis and Statistical Methods: Univariate and Bivariate Analyses

Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Multivariate Methods of Marketing Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Advanced Topics, research Frontiers, and Preparing the Final Report

Filters

Exam 9: Multiple Regression: Modeling Multivariate Relationships

If the dependent variable is an ordinal scale,then the proper regression model to use is the

Which list of common variables below would be examples of continuous data?

-The regression output above indicates that an additional year in age increases the chance a respondent is male by

Predicting one dependent variable based on many independent variables is called

In multiple regression,the intercept is the value of Y when

-Based on the output above,the LOGIT model correctly predicted the female gender

Describe the different types of analysis for the different data types of dependent variable.

-The regression output above indicates that a 1 inch increase in Height increases the chance a respondent is male by

Standardized residuals are used to determine if there are any potential outliers in the data.Data points that are greater that have residuals higher than _______________ in magnitude should be examined,unless the data set is very large.

_______________ occurs when a number of potential predictors in a regression model are highly correlated.

Describe what regression is and what it is used for.

Explain the problems of non-normality,heteroscedasticity,and autocorrelation and how researchers can detect each.

To determine if a regression model is useful,the

A histogram will show if the data points are normally distributed.

Y=aebXY = a e ^ { b X }Y=aebX is the form of a geometric relationship.

In binary regression,probability data for predicting binary variables is transformed using

The problem with heteroscedasticity is that researchers tend to be underconfident,i.e.they must make statements as if the data is worse than it actually is.

The Breusch-Pagan test detects whether data is normally distributed.

The Purpose and Process of Marketing Research

Research Design and Data Sources

Measurement in Marketing Research

Causal Designs and Marketing Experiments

Data Collection: Exploratory and Conclusive Research

Designing Surveys and Data Collection Instruments

Sampling

Data Analysis and Statistical Methods: Univariate and Bivariate Analyses

Multivariate Methods of Marketing Research I: Factor, cluster, and Discriminant Analyses

Multivariate Methods of Marketing Reseach Ii: Conjoint Analysis and Multidimensional Scaling

Advanced Topics, research Frontiers, and Preparing the Final Report

Filters

$Y = a e ^ { b X }$ is the form of a geometric relationship.