Pearson eText for Basic Business Statistics -- Instant Access (Pearson+)
Pearson eText for Basic Business Statistics -- Instant Access (Pearson+)
14th Edition
ISBN: 9780137400119
Author: MARK BERENSON, David Levine
Publisher: PEARSON+
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Chapter 15, Problem 37PS

Financial analysts engage in business valuation to determine a company’s value. A standard approach uses the multiple of earnings method. You multiply a company’s profits by a certain value (average of median) to arrive at a final value. More recently, regression analysis has been demonstrated to consistently deliver more accurate predictions. A valuator has been given the assignment of valuing a drug company. She obtained financial data on 60 drug companies (Industry Group Industrial Classification {SIC}3 code 283), Which included pharmaceutical preparation firms (SIC 4 code 2534), in vitro and in vivo diagnostic substance firms (SIC 4 code 2835), and biological products, and biological products firms (SIC 4 2836). The file BusinessValution2 contains these variables:

COMPANY-Drug company name

TS-Ticker symbol

SIC3-Standard industrial Classification 3 codes (industry group identifier)

SIC4-Standard industrial Classification 4 codes (industry identifier)

PB fye-Price-to-book value ratio (fiscal year ending)

PB fye-price-to-earning ratio (fiscal year ending)

NL Assets-Natural log pf assets (as a measure of size)

ROE-Return on equity

SGROWTH-Growth (GS5)

DEBT/EBITDA-Ratio of debt to earnings before interest, taxes depreciation, and amortization

D2834-Dummy variable indicator of SIC 4 code 2534 (1 if 2834, 0 if not)

D2835-Dummy variable indicator of SIC 4 code 2835 (1 if 2835,0 if not)

Develop the most appropriate multiple regression model to predict the price-to-book value ratio. Perform a through residual analysis and provide a detailed explanation of your results.

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Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…

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Pearson eText for Basic Business Statistics -- Instant Access (Pearson+)

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