Concept explainers
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,
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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Basic Business Statistics
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- Does the Regression line give information about all the data points in the data set? Does the Regression line usually have all the points in the data set on it?arrow_forwardThe following regression equation is based on the analysis of four variables: SM_DOLLARS is the dollar amount of a watershed conservation agency's weekly spending on social media ads. RADIO_ADS is the number of radio advertisements aired weekly by the agency. WS_DOLLARS is the dollar amount of the agency’s weekly spending on web search ads. The variable WEB_VISITS is the number of weekly visitors to their educational website. These data have been recorded every week for the past three years. WEB_VISITS (expected) = 109 + 0.2*SM_DOLLARS + 1.5*RADIO_ADS + 1.1*WS_DOLLARS The data meet the assumptions for regression analysis, and the regression results, including the coefficients, were found to be statistically significant. How many additional weekly web visits would you predict when the agency increases its weekly spending on social media ads by $150 without changing the amount spent on radio ads or web search ads? (Round your answer to the nearest whole number.)arrow_forwardThe following regression equation is based on the analysis of four variables: SM_DOLLARS is the dollar amount of a watershed conservation agency's weekly spending on social media ads. RADIO_ADS is the number of radio advertisements aired weekly by the agency. WS_DOLLARS is the dollar amount of the agency’s weekly spending on web search ads. The variable WEB_VISITS is the number of weekly visitors to their educational website. These data have been recorded every week for the past three years. WEB_VISITS (expected) = 208 + 0.25*SM_DOLLARS + 0.5*RADIO_ADS + 0.75*WS_DOLLARS The data meet the assumptions for regression analysis, and the regression results, including the coefficients, were found to be statistically significant. How many additional weekly web visits would you predict when the agency increases its weekly spending on social media ads by $100 without changing the amount spent on radio ads or web search ads? (Round your answer to the nearest whole number.) Would the…arrow_forward
- The following regression equation is based on the analysis of four variables: SM_DOLLARS is the dollar amount of a watershed conservation agency's weekly spending on social media ads. RADIO_ADS is the number of radio advertisements aired weekly by the agency. WS_DOLLARS is the dollar amount of the agency’s weekly spending on web search ads. The variable WEB_VISITS is the number of weekly visitors to their educational website. These data have been recorded every week for the past three years. WEB_VISITS (expected) = 208 + 0.75*SM_DOLLARS + 1.5*RADIO_ADS + 1.2*WS_DOLLARS The data meet the assumptions for regression analysis, and the regression results, including the coefficients, were found to be statistically significant. How many additional weekly web visits would you predict when the agency increases its weekly spending on social media ads by $220 without changing the amount spent on radio ads or web search ads? (Round your answer to the nearest whole number.) Based on the…arrow_forwardThe following regression equation is based on the analysis of four variables: SM_DOLLARS is the dollar amount of a watershed conservation agency's weekly spending on social media ads. RADIO_ADS is the number of radio advertisements aired weekly by the agency. WS_DOLLARS is the dollar amount of the agency’s weekly spending on web search ads. The variable WEB_VISITS is the number of weekly visitors to their educational website. These data have been recorded every week for the past three years. WEB_VISITS (expected) = 208 + 1.25*SM_DOLLARS + 1.5*RADIO_ADS + 1.2*WS_DOLLARS The data meet the assumptions for regression analysis, and the regression results, including the coefficients, were found to be statistically significant. Initially, $320 was spent on social media ads, 10 radio ads were aired, and $120 spent on web search ads. How many additional weekly web visits would you predict when the agency increases its weekly spending on social media ads by $440 without changing the…arrow_forwardIdentify six problems that can arise in data collection for a regression analysis.arrow_forward
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