Question 1

There is a direct cause-and-effect relationship or true dependence between the dependent and independent variables in regression analysis.

Accepted Answer

In regression analysis, the relationship between dependent and independent variables is statistical, not necessarily a direct cause-and-effect. It identifies how the dependent variable changes when any of the independent variables are varied, without proving a causal relationship.

Question 2

The independent variables that interest market researchers are typically sales,potential sales,or some attitude held by those who make up the market.

Accepted Answer

The independent variables in market research are typically factors that influence sales or attitudes, such as demographics, marketing strategies, or economic conditions, not sales or attitudes themselves.

Question 3

When regression is used as a screening device,there are several items to report.Which of the following is NOT one of those items?

Accepted Answer

When regression is used as a screening device, it is not necessary to report all non-statistically significant data. Rather, it is important to report only the dependent variable, statistically significant independent variables, and signs of beta coefficients.

Question 4

The researcher and the manager identify,measure,and analyze specific variables that pertain to the general conceptual model in mind.

Accepted Answer

This statement accurately describes the process of using a conceptual model for research and management purposes. The model helps guide the identification and measurement of relevant variables, which can then be analyzed to generate insights and inform decision-making.

Question 5

It is beneficial for the marketing manager and the market researcher to have some sort of model in mind when designing a research plan.

Accepted Answer

Having a model or framework in mind helps to guide the research efforts and ensure that the research objectives are met. It also helps to organize data and identify patterns or trends that can inform marketing decisions.

Question 6

With bivariate regression,one variable is used to predict another variable using the formula for a straight line.

Accepted Answer

Bivariate regression is a statistical technique that involves using one variable to predict another variable through the use of a linear equation. This linear equation is represented by a straight line on a scatter plot. Therefore, the statement "with bivariate regression, one variable is used to predict another variable using the formula for a straight line" is true.

Question 7

With ________,the statistically significant independent variable that explains the most variance in the dependent variable is determined and entered into the multiple regression equation.

Accepted Answer

Stepwise multiple regression is used to determine the most significant independent variables to include in the regression equation. It selects variables based on their ability to explain the most variance in the dependent variable while also accounting for multicollinearity and overfitting. Standard multiple regression is not as effective at identifying the most significant variables, as it does not take these factors into account. Linear and polynomial regression are specific types of multiple regression and do not address the selection of variables.

Question 8

In the research design determination stage,the researcher and manager reduce the myriad of independent variables down to a manageable number to be included on the questionnaire.

Accepted Answer

The answer of In the research design determination stage,the researcher...

Question 9

A straight-line relationship underlies regression,but is not a powerful predictive model.

Accepted Answer

A straight-line relationship underlies linear regression, which can be a powerful predictive model if the linear relationship accurately captures the data's patterns and underlying mechanisms. However, if the true relationship is non-linear or complex, linear regression may not be the best or most accurate predictive model.

Question 10

When using a Venn diagram to identify outliers,draw a circle that encompasses most of the points that appear to be in a circular pattern,then eliminate outliers from the data and rerun the regression analysis.

Accepted Answer

Venn diagrams are not typically used to identify outliers in data. Instead, box plots or scatter plots with a visual inspection of the data points can be used. Once outliers have been identified, they can be removed from the data set and the regression analysis can be rerun.

Question 11

When SPSS or any other statistical analysis program computes the intercept and the slope in a correlation analysis,it does so on the basis of the least squares criterion.

Accepted Answer

The answer of When SPSS or any other statistical analysis...

Question 12

A general conceptual model identifies independent and dependent variables and shows their expected basic relationships to one another.

Accepted Answer

A general conceptual model does indeed identify independent and dependent variables and shows their expected basic relationships to one another.

Question 13

The objective of a screening mechanism is to identify the relevant or meaningful variables as they relate to some ________ of interest.

Accepted Answer

Screening mechanisms are used to identify the relevant variables that are related to the dependent variable, which is the variable of interest in any study.

Question 14

An outlier is a data point that is substantially outside the normal range of the data points being analyzed.

Accepted Answer

An outlier is defined as a data point that is significantly different from other data points in a given dataset. It is typically identified by being outside the normal range or distribution of the data, and can have a significant impact on statistical analysis and interpretation of results.

Question 15

Even though two variables,such as sales and advertising,are logically connected,a regression analysis does not permit the marketing researcher to make cause-and-effect statements because:

Accepted Answer

Regression analysis can show the relationship between two variables, but it cannot prove a cause-and-effect relationship because other independent variables are not controlled. There could be other factors that influence both sales and advertising that the analysis is not accounting for, and therefore it cannot determine causality.

Question 16

There is an underlying general conceptual model in multiple regression analysis.

Accepted Answer

Multiple regression analysis involves a general conceptual model that includes a dependent variable and one or more independent variables, as well as assumptions about the relationship between these variables and the nature of the data. This conceptual model is used to guide the analysis and interpretation of the results.

Question 17

The final output in stepwise multiple regression contains:

Accepted Answer

The final output in stepwise multiple regression contains only statistically significant independent variables. This means that any independent variables that were not found to be statistically significant were removed from the model. The dependent variable, however, is not mentioned in the question and may or may not be statistically significant.

Question 18

In regression analysis,it is strictly a statistical relationship between dependent and independent variables,not causal.

Accepted Answer

Regression analysis establishes a relationship between dependent and independent variables, but it does not determine causation. This means that regression analysis can identify associations or correlations between variables, but it cannot determine whether one variable causes changes in the other.

Question 19

Bivariate regression means only two variables are being analyzed,and researchers sometimes refer to this a"simple regression."

Accepted Answer

Bivariate regression only involves analyzing two variables, hence the term "simple regression."

Question 20

Regression analysis springs from ________,which is a measure of the linear association and not the causal relationship between two variables.

Accepted Answer

Regression analysis emphasizes the relationship between two variables (or more). Correlation analysis determines the strength and direction of the relationship but does not imply causation. Therefore, D is the best choice.

Quiz 15: Understanding Regression Analysis Basics