*R2.47. Companies assets and sales How are the assets andsales of major corporations related? The data set is thesame as that for Exercise 2.44. The variable Banks in thedata set is 1 for the banks and 0 for the other companies.As Exercise 2.44 showed, it is best to take the logarithm ofmost of these variables. Here are a scatterplot and a regres-sion relating the logarithm of assets and the logarithm ofsales. The banks are shown in red:LAss4.50-3.753.002.25 3.00 3.75LSIResponse variable is: LogAssetsR squared = 73.7 % s = 0.2741VariableInterceptLogSalesBanksCoefficient0.4225630.8684880.9456754.50a) What is an appropriate interpretation of the coefficient ofLogSales?b) What is an appropriate interpretation of the coefficient ofBanks?c) Is the use of a variable such as Banks appropriate forthese data? Explain.

Answered: Image /qna-images/answer/651da22f-361e-427b-9c6a-5eeddb853fdc.jpg

Answered: *R2.47. Companies assets and sales How…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Use the table to answer the question. Hours Number of Bacteria 0 20 million 4 22 million 8 25 million 12 28 million 16 32 million 20 36 million 24 40 million 28 45 million The scatterplot of these data, when graphed, reveals what relationship between hours and the number of bacteria? Explain. The scatterplot reveals that hours and number of bacteria have a strong exponential relationship since the points closely follow an exponential curve. Since the number of bacteria increases as time increases, the relationship is negative. The scatterplot reveals that hours and number of bacteria have a strong exponential relationship since the points closely follow an exponential curve. Since the number of bacteria increases as time increases, the relationship is positive. The scatterplot reveals that hours and number of bacteria have a strong linear relationship since the points closely follow a line. Since the number of bacteria increases as time…
The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Audrey’s car over several months. Audrey’s Gas Fill Up LogMiles Driven, x 313 320 341 320 294 348 302Cost to Fill up ($), y 24.80 24.96 25.83 25.17 22.44 27.51 23.93 Step 2 of 2 : If Audrey needs to drive 319 miles home from college and leaves with a full tank, how much should she budget to fill up when she gets home? Assume the regression equation is appropriate for prediction. Round your answer to the nearest cent.
The present data is in the form of tables. For the data set shown by the table, a. Create a scatter plot for the data. b. Use the scatter plot to determine whether an exponential function, a logarithmic function, or a linear function is the best choice for modeling the data.
1. Chemical Acidity In chemistry, the acidity of a water-based solution is measured by the concentration of hydrogen ions in the solution (in moles per liter). The hydrogen-ion concentration is written [H*]. Because such concentrations usually involve negative powers of ten, negative orders of magnitude are used to compare acidity levels. The measure of acidity used is pH, the opposite of the common log of the hydrogen-ion concentration: pH = -log[H] More acidic solutions have higher hydrogen-ion concentrations. A certain brand of lemon juice has a pH of 2.1, and a certain brand of cleaning ammonia has a pH of 11.6. a) Find the hydrogen-ion concentrations for the lemon juice and the ammonia. b) How many times greater Is the hydrogen-ion concentration of the lemon juice than the ammonia?
I need help creating a equation for this set of data. These data seem a little all over the place, but if you could make a equation for the first 6 set of points since it's basically +.02 every year, that would be great. The data set itself seems like a exponential graph.
The data in the table below represent the number of dairy farms (in thousands) and the amount of milk produced (in billions of pounds) in a country for various years. Complete parts (a) through (d). Year Dairy Farms (thousands) 333 269 1980 1985 1990 1995 2000 2005 2010 192 138 104 75 63 Milk Produced (billion pounds) 129 145 147 153 168 175 193 C (a) Using a graphing utility, build a logarithmic model from the data with the number of dairy farms as the independent variable. Select the correct choice below and fill in the answer boxes to complete your choice. (Type integers or decimals rounded to four decimal places as needed.) O A. y= OB. Y= ■-■Inx + In x
EXAMPLE 3 Magnitude of Earthquakes There are several other logarithmic scales used to calculate the magnitude of earthquakes. For instance, the U.S. Geological Survey uses the momert magnitude scale. The 1906 earthquake in San Francisco had an estimated magnitude of 8.3 on the Richter scale. In the same year a powerful earthquake occurred on the Colombia- Ecuador border that was four times as intense. What was the magnitude of the Colombia-Ecuador earthquake on the Richter scale?

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