Exam 5: Linear Regression As a Fundamental Descriptive Tool

If one is trying to explain the cross-sectional variation in prices for milk across grocery stores in the country using commercial rental prices and a binary variable for if the grocery store chain owns a dairy farm, which method is most appropriate?

(Multiple Choice)

4.9/5

(35)

Question 41

Suppose you're running a multiple regression of Home Prices (in thousands of $) on five different treatment variables including number of bedrooms, number of bathrooms, total square feet, total lot size, and garage size, where all the treatment variables have been standardized . If the coefficient on number of bedrooms is estimated to be 3, how would you interpret the coefficient on the number of bedrooms?

(Multiple Choice)

4.7/5

(40)

Question 42

Suppose you're running a multiple regression of Home Prices on two treatment variables, City, which is a binary variable for whether or not the home is located in a city or not, and Finished Basement, which is a binary variable for whether or not the home has a finished basement. If you solve for the multiple regression using the moment conditions all of the following conditions must hold except for what?

(Multiple Choice)

4.8/5

(36)

Question 43

In running the simple linear regression of Y on X, if you know that no observation in your sample has an X value that is equal to $\bar { X }$ , what condition might not be true?

(Multiple Choice)

5.0/5

(39)

Question 44

In a dichotomous regression which condition must hold?

(Multiple Choice)

4.8/5

(42)

Question 45

If one was estimating a simple regression of Earnings (Y) on Height of individuals (X), and got a coefficient on the Height variable of 30, what would the coefficient on Height be if you added 3 inches to every individual in the sample but kept their earnings the same?

(Multiple Choice)

4.9/5

(36)

Question 46

For a dichotomous treatment regression (X = 1 or 0), the mean outcome for the treated group (X = 1) is 35 and the mean outcome for the untreated group is 67. What will the slope of the regression line be?

(Multiple Choice)

4.9/5

(28)

Question 47

If you're running a multiple regression of employee Hours Worked on Tenure (in number of years) and MBA (a binary variable equal to 1 for an employee with an MBA, 0 otherwise), which moment conditions would be used?

(Multiple Choice)

4.8/5

(41)

Question 48

Why is Line B a better fit for the data in this graph?

(Multiple Choice)

4.8/5

(36)

Question 49

Suppose you're running a multiple regression of Home Prices on five different treatment variables including number of bedrooms, number of bathrooms, total square feet, total lot size, and garage size, where all the treatment variables have been standardized . Which conditions about the multiple regression must hold?

(Multiple Choice)

4.8/5

(36)

Question 50

If one was estimating a simple regression of Earnings (Y) on Height of individuals (X), and got a coefficient on the Height variable of 30, what would the intercept be if you added 3 inches to every individual in the sample but kept their earnings the same?

(Multiple Choice)

4.8/5

(32)

Question 51

When a treatment can be administered in more than one quantity it is known as a:

(Multiple Choice)

4.8/5

(28)

Question 52

An objective function is best described as:

(Multiple Choice)

4.7/5

(39)

Question 53

Showing 41 - 53 of 53

If one is trying to explain the cross-sectional variation in prices for milk across grocery stores in the country using commercial rental prices and a binary variable for if the grocery store chain owns a dairy farm, which method is most appropriate?

In running the simple linear regression of Y on X, if you know that no observation in your sample has an X value that is equal to $\bar { X }$ , what condition might not be true?

In a dichotomous regression which condition must hold?

If one was estimating a simple regression of Earnings (Y) on Height of individuals (X), and got a coefficient on the Height variable of 30, what would the coefficient on Height be if you added 3 inches to every individual in the sample but kept their earnings the same?

For a dichotomous treatment regression (X = 1 or 0), the mean outcome for the treated group (X = 1) is 35 and the mean outcome for the untreated group is 67. What will the slope of the regression line be?

If you're running a multiple regression of employee Hours Worked on Tenure (in number of years) and MBA (a binary variable equal to 1 for an employee with an MBA, 0 otherwise), which moment conditions would be used?

Why is Line B a better fit for the data in this graph?

If one was estimating a simple regression of Earnings (Y) on Height of individuals (X), and got a coefficient on the Height variable of 30, what would the intercept be if you added 3 inches to every individual in the sample but kept their earnings the same?

When a treatment can be administered in more than one quantity it is known as a:

An objective function is best described as:

The Roles of Data and Predictive Analytics in Business

Reasoning With Data

Reasoning From Sample to Population

The Scientific Method: The Gold Standard for Establishing Causality

Correlation Vs Causality in Regression Analysis

Basic Methods for Establishing Causal Inference

Advanced Methods for Establishing Causal Inference

Prediction for a Dichotomous Variable

Identification and Data Assessment

Filters

Exam 5: Linear Regression As a Fundamental Descriptive Tool

If one is trying to explain the cross-sectional variation in prices for milk across grocery stores in the country using commercial rental prices and a binary variable for if the grocery store chain owns a dairy farm, which method is most appropriate?

In running the simple linear regression of Y on X, if you know that no observation in your sample has an X value that is equal to Xˉ\bar { X }Xˉ , what condition might not be true?

In a dichotomous regression which condition must hold?

If one was estimating a simple regression of Earnings (Y) on Height of individuals (X), and got a coefficient on the Height variable of 30, what would the coefficient on Height be if you added 3 inches to every individual in the sample but kept their earnings the same?

For a dichotomous treatment regression (X = 1 or 0), the mean outcome for the treated group (X = 1) is 35 and the mean outcome for the untreated group is 67. What will the slope of the regression line be?

If you're running a multiple regression of employee Hours Worked on Tenure (in number of years) and MBA (a binary variable equal to 1 for an employee with an MBA, 0 otherwise), which moment conditions would be used?

Why is Line B a better fit for the data in this graph?

If one was estimating a simple regression of Earnings (Y) on Height of individuals (X), and got a coefficient on the Height variable of 30, what would the intercept be if you added 3 inches to every individual in the sample but kept their earnings the same?

When a treatment can be administered in more than one quantity it is known as a:

An objective function is best described as:

The Roles of Data and Predictive Analytics in Business

Reasoning With Data

Reasoning From Sample to Population

The Scientific Method: The Gold Standard for Establishing Causality

Correlation Vs Causality in Regression Analysis

Basic Methods for Establishing Causal Inference

Advanced Methods for Establishing Causal Inference

Prediction for a Dichotomous Variable

Identification and Data Assessment

Filters

In running the simple linear regression of Y on X, if you know that no observation in your sample has an X value that is equal to $\bar { X }$ , what condition might not be true?