Question 1

A market survey is a questionnaire, either filled out by respondents or administered by an interviewer, which provides information on how consumers actually react to certain changes in demand variables.

Accepted Answer

False

Question 2

Using linear regression analysis, Tim's Home Supply Company estimated its demand function for paint with the following results.

Accepted Answer

Where: Q_P = Gallons of paint sold per year at Tim's P_P = price per gallon of paint P_W = price of wallpaper Y = Average annual household income Given the above information, as income increases, people will buy more wallpaper. False

Question 3

A statistical technique used to "fit" an equation to empirical data in order to estimate the relationship between a dependent variable and more than one independent variable is called multiple regression.

Accepted Answer

This is an accurate statement. Multiple regression is a statistical technique used to estimate the relationship between a dependent variable and more than one independent variable by fitting an equation to empirical data.

Question 4

Market surveys can be quite useful even when questionnaires require very fine discrimination by the respondents.

Accepted Answer

The answer of Market surveys can be quite useful even...

Question 5

A log form demand function for carpet was estimated with the following results:

Accepted Answer

The answer of A log form demand function for carpet...

Question 6

Regression analysis is a statistical technique used to "fit" an equation to empirical data in order to estimate the relationship between a dependent variable and one or more independent variables.

Accepted Answer

Regression analysis is indeed a statistical technique used to estimate the relationship between a dependent variable and one or more independent variables by fitting an equation to empirical data.

Question 7

In demand estimation, when regression analysis is employed, the dependent variable is the quantity of some product purchased or sold per unit of time; and the independent variables usually include such items as price of the product, prices of related goods, consumer income, advertising expenditure and credit terms.

Accepted Answer

This is true as regression analysis is commonly used to estimate demand by examining the relationship between the quantity of a product purchased or sold and various independent variables such as price, consumer income, and advertising expenditure.

Question 8

Market surveys can be quite useful when questionnaires do not call for very fine discrimination by the respondents.

Accepted Answer

Market surveys are most useful when the questions are clear and concise, and don't require very detailed or nuanced responses. Surveys that are too complicated or difficult to understand can result in inaccurate or incomplete data. Therefore, market surveys are more effective when the questions are simply worded and easy to understand.

Question 9

A log form demand function for carpet was estimated with the following results:

Accepted Answer

The answer of A log form demand function for carpet...

Question 10

R², the coefficient of determination, measures the proportion of the total variation in the dependent variable that is "explained" by the variation of the independent variables).

Accepted Answer

The statement is true. The coefficient of determination, also known as R-squared, represents the percentage of the dependent variable that can be explained by the independent variables. It ranges from 0 to 1, with 1 indicating that all of the variation in the dependent variable can be explained by the independent variables.

Question 11

When R² = .87, this means that the variation of the independent variables) explains 87% of the total variation in the dependent variable.

Accepted Answer

The value R² represents the coefficient of determination (R-squared), indicating the proportion of variation in the dependent variable that can be explained by the variation in the independent variable(s). Therefore, a value of .87 means that 87% of the total variation in the dependent variable can be explained by the independent variable(s).

Question 12

We can have a greater confidence in the predictive accuracy of the regression model, the closer the observed data points lie to the regression line.

Accepted Answer

This is because if the observed data points are close to the regression line, it indicates that the model is accurately capturing the underlying relationship between the variables, and therefore can be used to make more accurate predictions. On the other hand, if the data points are far away from the regression line, it suggests that there may be unaccounted for factors affecting the relationship between the variables, and the model may have lower predictive accuracy.

Question 13

A market survey is a questionnaire, either filled out by respondents or administered by an interviewer, which tells how consumers think they will react if certain changes in demand variables take place.

Accepted Answer

This is a correct definition of a market survey.

Question 14

Using linear regression analysis, Tim's Home Supply Company estimated its demand function for paint with the following results.

Accepted Answer

The answer of Using linear regression analysis, Tim's Home Supply...

Question 15

R², the coefficient of determination, does not necessarily mean that variation in the independent variables) caused the variation in the dependent variable.

Accepted Answer

The coefficient of determination (also known as R-squared) only measures the proportion of variation in the dependent variable that is explained by the independent variables. It does not determine causation.

Question 16

Management must be careful in its use of statistically estimated demand functions because variables that are related statistically do not necessarily have a cause-effect relationship to one another and because important variables may have been excluded.

Accepted Answer

Statistically estimated demand functions may have variables that are related but not causally related, and important variables may have been left out, so management should exercise caution in their use.

Question 17

R² indicates how the variation in the independent variables caused the variation in the dependent variable.

Accepted Answer

R² appears to be a code or identifier rather than a statistical measure or concept that indicates how variations in independent variables cause variations in the dependent variable.

Question 18

When the independent variables are expressed in log form and not squared in order to use linear regression to estimate the coefficients, then we are assuming that the elasticity of demand for that variable is constant.

Accepted Answer

When the independent variables are expressed in log form, the resulting coefficients represent elasticity rather than absolute change. By assuming that the elasticity of demand for that variable is constant, we are assuming a linear relationship between the independent variable and the dependent variable on a logarithmic scale.

Question 19

A statistical technique used to "fit" an equation to empirical data in order to estimate the relationship between several dependent variables and more than one independent variable is called multiple regression.

Accepted Answer

Multiple regression is used to estimate the relationship between one dependent variable and two or more independent variables, not several dependent variables.

Question 20

When R²= .95 this means that independent variables are not just correlated, but that they caused 95% of the variation in the independent variables.

Accepted Answer

R²=.95 is a measure of the correlation coefficient between two variables, not an indication of causation or the amount of variation caused by the independent variables. It only indicates the strength and direction of the relationship between the two variables.

Quiz 3: Topics in Demand Analysis and Estimation

A market survey is a questionnaire, either filled out by respondents or administered by an interviewer, which provides information on how consumers actually react to certain changes in demand variables.

Using linear regression analysis, Tim's Home Supply Company estimated its demand function for paint with the following results.

A statistical technique used to "fit" an equation to empirical data in order to estimate the relationship between a dependent variable and more than one independent variable is called multiple regression.

Market surveys can be quite useful even when questionnaires require very fine discrimination by the respondents.

A log form demand function for carpet was estimated with the following results:

Regression analysis is a statistical technique used to "fit" an equation to empirical data in order to estimate the relationship between a dependent variable and one or more independent variables.

Market surveys can be quite useful when questionnaires do not call for very fine discrimination by the respondents.

A log form demand function for carpet was estimated with the following results:

R2, the coefficient of determination, measures the proportion of the total variation in the dependent variable that is "explained" by the variation of the independent variables).

When R2 = .87, this means that the variation of the independent variables) explains 87% of the total variation in the dependent variable.

We can have a greater confidence in the predictive accuracy of the regression model, the closer the observed data points lie to the regression line.

A market survey is a questionnaire, either filled out by respondents or administered by an interviewer, which tells how consumers think they will react if certain changes in demand variables take place.

Using linear regression analysis, Tim's Home Supply Company estimated its demand function for paint with the following results.

R2, the coefficient of determination, does not necessarily mean that variation in the independent variables) caused the variation in the dependent variable.

Management must be careful in its use of statistically estimated demand functions because variables that are related statistically do not necessarily have a cause-effect relationship to one another and because important variables may have been excluded.

R2 indicates how the variation in the independent variables caused the variation in the dependent variable.

When the independent variables are expressed in log form and not squared in order to use linear regression to estimate the coefficients, then we are assuming that the elasticity of demand for that variable is constant.

A statistical technique used to "fit" an equation to empirical data in order to estimate the relationship between several dependent variables and more than one independent variable is called multiple regression.

When R2 = .95 this means that independent variables are not just correlated, but that they caused 95% of the variation in the independent variables.

R², the coefficient of determination, measures the proportion of the total variation in the dependent variable that is "explained" by the variation of the independent variables).

When R² = .87, this means that the variation of the independent variables) explains 87% of the total variation in the dependent variable.

R², the coefficient of determination, does not necessarily mean that variation in the independent variables) caused the variation in the dependent variable.

R² indicates how the variation in the independent variables caused the variation in the dependent variable.

When R²= .95 this means that independent variables are not just correlated, but that they caused 95% of the variation in the independent variables.