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Construct a table from the data shown. Which is the dependent variable and which is the independent variable? Summarize the data in equation form.
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- Only typed Answer and give Answer fastSuppose you run a regression with quantity as your dependent variable and advertising as one of your independent variables. The p-value on advertising is .08. The marketing team is arguing that their advertising efforts are impacting sales, but the finance/economics department is arguing that there isn't evidence that the advertising is impacting sales. What side would you take and why?Refer to the accompanying figure to answer the questions that follow. Marginal Utility 30 25 20 15 10 5 0 1 2 3 4 5 6 7 8 Total utility is maximized at the: OA) first cupcake. B) seventh cupcake. C) sixth cupcake. D) eighth cupcake. Number of Cupcakes
- Given the function f(x) = ln (x+1), x>0 In applying mathematical methods to economics/business problems, we use a broad menu of functions for the purpose of accurately specifying the properties of the economic variables in question. Find an example that you can use the above function to describe certain economic or business activity.For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature". Relationship options: positive, negative Line options: A, B, C, D True or False: Line D has a slope of infinity.I am trying to answer number 5 with the table provided. I was provided in my lesson with the equation MU1/P1=MU2/P2 but I am having trouble trying to figure out what Numbers to plug into the equation from the table.
- Briefly describe the concept of VIF (what is it, why do we use it) and explain how to calculate VIF in a model with 3 independent variables.You are given information on the use of public transportation in the data set within the image. Number of weekly riders y -variable Price per week (of using public transportation) x-variable Population of city x-variable Monthly income of riders x variable Average parking rates per month x-variable (a) Run a regression of the Number of weekly riders on Price per week, Population of city, Monthly income of riders, Average parking rates per month. Please copy and paste your regression results and do not submit your EXCEL worksheet. (b) If the average parking rates increase by $1, what will be the change in the number of weekly riders? Will this change be a statistically significant change? Please explain. (c) If the price per week (of using public transportation) increases by $1, what will be the change in the number of weekly riders? Will this change be…Use a software of your own choice to calculate the daily log prices (lp) and daily log returns (Ir) i. Examine the descriptive statistics of both lp and Ir. What do you conclude about the distributions of lp and Ir? Is lp normally distributed? Is Ir normally distributed? Obtain the correlograms, and examine the autocorrelations and partial autocorrelations for both lp and Ir. What do you conclude about the behaviour of lp and Ir? Are they stationary/non-stationary? ii. iii. Are your conclusions about stationary/non-stationary of lp and lr confirmed by appropriate unit root tests?
- The world's population living in extreme poverty has declined linearly between the years 2005 and 2011. In 2005, the percentage of the world's population living in extreme poverty was 20.70% and in 2011, the percentage of the world's population living in extreme poverty was 13.70%. Determine a linear equation that models the world's population in extreme poverty, in percentage, as a function of years since 2005. What is the slope of this function, and what does it tell you in practical terms? Round your answer to the nearest hundredth (0.01). Om = -7.00. The world's population in extreme poverty decreased by 7 percent per year between the years 2005 and 2011. Om = 7.00. The world's population in extreme poverty increased by 7 percent per year between the years 2005 and 2011. Om = 1.17. The world's population in extreme poverty increased by 1.17 percent per year between the years 2005 and 2011. Om = -1.17. The world's population in extreme poverty decreased by 1.17 percent per year…Greenhouse gases trap heat and make the planet warmer. Human activities are responsible for almost all of the increase in greenhouse gases in the atmosphere over the last 150 years. In this part, you will draw two pie graphs. A pie graph is used to show how a certain quantity has been divided into several parts, as well as to show the comparisons among these parts. 1. The data table below shows the total U.S. greenhouse gas emissions by economic sector in 2013, in million metric tons of CO2. On the pie graph provided, complete the graph to show the percent of greenhouse gas emissions for each economic sector. Label each section of the pie graph with its economic sector. The percent for "Agriculture" has been drawn and labeled for you. Economic Sector Electricity Transportation Industry Commercial & Residential Agriculture Percent of Greenhouse Gas Emissions 31 27 21 12 9 80 75 70- 85 65 95 90 wlad Percent 0 100 Agri- culture 55 50 45 10 40 35 20 25 30Econometrics 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.
