In a two-way data table, you can compare how different values of one input variable influence the return on invested capital by holding the remaining input variables constant. True or False True False
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- Motion Picture Industry The motion picture industry is a competitive business. More than 50 studios produce a total of 300 to 400 new motion pictures each yea1 and the financial success of each motion picture varies considerably. The opening weekend gross sales ($millions), the total gross sales ($millions). the number of theaters the movie was shown in. and the number of weeks the motion picture was in release are common variables used to measure the success of a motion picture. Data collected for the top 100 motion pictures produced in 2011 are contained in the file named 2011 Movies (Box Office Mojo. March 17,2012).Table 2.20 shows the data for the first 10 motion pictures in this file. Managerial Report Use the tabular and graphical methods of descriptive statistics to learn how these variables contribute to the success of a motion picture. Include the following in your report. 1.Tabular and graphical summaries for each of the four variables along with a discussion of what each…IDX Tech is looking to expand its investment in advanced security systems. The project will be financed with equity. You are trying to assess the value of the investment and must estimate its cost of capital. You find the following data for a publicly-traded firm in the same line of business: Debt Outstanding (book value, AA-rated) $423 million Number of shares of common stock $67 million Stock price per share $17.29 Book value of equity per share $6.24 Beta of equity 1.19 What is your estimate of the project's beta? What assumptions do you need to make?Many factors influence the retail price of gasoline. Suppose the following table shows the average retail price for a gallon of regular grade gasoline for each year from 2011 through 2014. (Round your answers to one decimal place.) Year Average Price ($) 2011 3.526 2012 3.608 2013 3.505 2014 3.368 (a) Use 2011 as the base year and develop a price index for the retail price of a gallon of regular grade gasoline over this four-year period. 2011 price index 2012 price index 2013 price index 2014 price index (b) Use 2012 as the base year and develop a price index for the retail price of a gallon of regular grade gasoline over this four-year period. 2011 price index 2012 price index 2013 price index 2014 price index
- Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 194 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. A multiple linear regression model resulted in an SSR of 5.25 and an SSE of 125.02. Calculate the test statistic. FSTAT=____________ (Round to two decimal places as needed.)It is a 2 part question. How can we find normality?The school sports department is considering reducing the number of sports they offer. Students are allowed to participate in only one sport, and every year fewer than 300 students sign up for one sport. The department wants to compare the number of participants in each sport in the last two years. The results of the enrollment data is graphed below. Which category of sport dropped the most in enrollment in 2017 compared to 2016? 120 100 I 2016 2017 80 60 40 20 Football O football Swimming Track & O basketball O volleyball O swimming O softball O track & field Basketball Volleyball Softball Field
- Bargain Rental Car wants to better understand the variable and fixed portions of its car washing costs. The company operates its own car wash facility that cleans each rental car before releasing it to another customer. Management believes the variable portion of its car washing costs relates to the number of rental returns. Accordingly, the following data have been compiled: Month January February March April May June July August September October November December Rental Returns 2,400 2,500 2,800 3,100 3,700 5,100 5,600 5,600 Fixed cost per month Variable cost per rental return 4,700 4,100 2,200 2,900 Exercise 5A-2 Part 2 (Algo) Car Wash Costs $ 11,300 $ 13,300 $ 12,100 $ 14,700 $ 16,500 $ 23,900 $ 22,500 $ 22,900 $ 23,100 $ 22,000 $ 11,000 $ 15,300 2. Using least-squares regression, estimate the variable cost per rental return and the monthly fixed cost incurred to wash cars. Note: Round Fixed cost to the nearest whole dollar amount and the Variable cost per unit to 2 decimal…Cryptocurrencies have rapidly become an important alternative to traditional currencies for many types of transactions. Etherium, one of the most prominent cryptocurrencies, has rapidly appreciated in value. Daily Etherium trading information for the first 332 days of 2021. It includes the following variables: Date Day – Day of the year, used to assess trend over time Volume (US $) – Daily trading volume Opening Price (US $) – Opening price for daily trading Price Change (US $) – Daily change in price from opening to close 1. Determine the sample correlation coefficient, r, between Volume and Price Change. Test the alternative hypothesis that Volume has a linear relationship to Price Change. Specifically, what are the test statistic and the p-value for that test statistic? For α = .05, what do you conclude about the relationship between the variables? (reminder: the T.DIST.2T function requires input of a positive test statistic)Regression and correlation analysis both describe the strength of linear relationships between variables. Consider the concepts of education and income. Many people would say these two variables are related in a linear fashion. As education increases, income usually increases (although not necessarily at the same rate). Can you think of two variables that are related in such a way that their relationship changes over their range of possible values (i.e., in a curvilinear fashion)? How would you analyze the relationship between two such variables?
- Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 73 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. Use the accompanying multiple linear regression results to complete parts (a) and (b) below. Variable Coefficient Standard Error 0.30408 0.00539 -0.24116 0.01953 0.04922 0.01517 Intercept Efficiency Ratio, X₁ Risk-Based Capital, X₂ t Statistic - 0.79 3.62 3.24 (Round to four decimal places as needed.) p-value 0.4304 0.0005 0.0018 C a. Construct a 95% confidence interval estimate of the population slope between ROA and efficiency ratio.Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 20 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. Complete parts (a) through (g) below. Click the icon to view the data table. a. State the multiple regression equation. Let X₁, represent the efficiency ratio (%) and let X₂; represent the total risk-based capital (%). Ý TO DX DX = + + (Round the constant to two decimal places as needed. Round the coefficients to four decimal places as needed.) Distribution Costs ROA (%) 1.13 1.22 0.82 1.15 0.81 1.23 0.67 1.35 0.95 0.71 0.69 1.10 0.87 1.02 0.86 1.74 1.02 1.76 0.90 0.68 Efficiency…How do you calculate the benchmark daily returns of weightings 60% IWV, 20% EFA, and 20% AGG.