The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student receives in a semester, the student'sage, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (x1) is the number of parking tickets, and the second independentvariable (x2) is the student's age.Coefficients Standard Error1-Statp-valueInterceptNumber of Parking TicketsStudent's Age15.034003-0.026275-0.6383311.30273911.540305 0.0000250.0302540.062922-0.868470 0.418515-10.144838 0.000053Copy DataStep 2 of 2: Indicate if any of the independent variables could be eliminated at the 0.05 level of significance.Answerx1x2Keep all variablesTablesKeypadKeyboard Shortcu

Given:Dependent variable = student's GPAIndependent variables:x1 = number of parking ticketsx2 =…

Answered: The following table was generated from…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Determine the PRF.
You are interested in how the number of hours a high school student has to work in an outside job has on their GPA. In your regression you want to control for high school standing and so you run the following regression: GPA = 3.4 0.03 * HrsWrk - 0.7 * Frosh - 0.3 * Soph +0.1 * Junior (1.1) (0.013) (0.23) (0.14) (0.08) where HrsWrk is the number of hours the student works per week, and Frosh, Soph, and Junior are dummy variables for the student's class standing. a) If you include a dummy variable for seniors, that would cause a Hint: type one word in each blank. For the rest of questions, type a number in one decimal place. b) The expected GPA of a Sophomore who works 10 hours per week is c) The expected GPA of a Senior who works 10 hours per week is d) If Dom and Sarah work the same number of hours per week, but Dom is a Junior and Sarah is a Freshman. Dom is expected to have a higher GPA than Sarah. e) Suppose you rewrite the regression as: problem. GPA = ₁HrsWrk + ß2Frosh + B2Soph +…
What do you mean by Scatterplots, the Sample Covariance, and the Sample Correlation?
None
6) Suppose you have the following data on the price of orange and the quantity sold: Price per Pound (in Quantity Sold (in Dollars) Pounds) 0.50 0.75 1.00 1.25 1.50 10 7 699 5 2 Assume that the quantity sold (Y) is a linear function of the price (X), i.e. Y₁ =B₁ + B₂X₁ + ε₁ Estimate the population regression coefficients. (Do not use Computer)
q11-
Q1
The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student receives in a semester, the student's age, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (x1) is the number of parking tickets, and the second independent variable (x2) is the student's age. Intercept Coefficients Standard Error 15.034003 1.302739 1-Stat p-value 11.540305 0.000025 Number of Parking Tickets -0.026275 0.030254 Student's Age -0.638331 0.062922 -0.868470 0.418515 -10.144838 0.000053 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer How to enter your answer (opens in new window) + x + x2 Tables Keypad Keyboard Shortcuts
Econometrics Thomas Eisensee and David Stromberg wanted to measure how much news coverage of a foreign disaster impacted the amount of disaster relief provided by the U.S. government. They argue that the simple relationship would be biased. Let X = Minutes of News Coverage and Y= Disaster Aid. Choose a variable X2 that could bias the simple relationship. This variable should impact the amount of coverage and impact the amount of aid for reasons other than purely news coverage. Eisensee and Stromberg introduce an instrument Z = During the Olympics. Explain how Z could satisfy the relevant and exogenous criteria. Explain how you could use Z to estimate the impact of X on Y free from X2 bias. Hint: you should mention two stages.
None
18 Given that the sum of the squared deviations of EDUC is 9025.6 The standard error of the slope coefficient is ________. a 0.1524 b 0.1249 c 0.1024 d 0.0839
Please fill out the blank a-d

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