A finanMalyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companies at random andrecords for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with xdenoting the earnings per share from the previous year, and y denoting the current stock price (both in dollars). Based on these data, she computes the least-squares regression line to be y =-0.147+0.044x. This line, along with a scatter plot of her data, is shown below.Earnings per share, x(in dollars)Current stock price, y(in dollars)42.001.2552.082.6958.852.713+28.460.8316.370.602.5-48.711.532-33.041.8215-58.542.3330.031.3938.401.380.54-25.381.0719.91M 0.7920304050Current stock price(in dollars) 38.771.45Earnings per share(in dollars)40.551.6817.640.5941.691.62Send data to calculatorSend data to ExcelBased on the analyst's data and regression line, answer the following.(a) what was the observed current stock price (in dollars) when the earnings per share was 52.08 dollars?(b) From the regression equation, what is the predicted current stock price (in dollars) when the earnings per share is 52.08dollars? Round your answer to two or more decimal places.

Answered: Image /qna-images/answer/3baecb57-92fb-4876-a689-cfdeee173016.jpg

Answered: 40.55 1.68 (in dollars) 17.64 0.59…

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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The monthly water consumption (thousand liters) and the number of household members in eight private single-family residences is given in the following table: No. of members 12 14 6. 10 8 10 10 Water use (thousand liters) 7 10 5 8 8 10 a. Determine the slope coefficient B1 for the regression of water use given No. of household members. Answer rounded to three decimal places. b. Determine the y-intercept Bo for the regression of water use given No. of household members. Answer rounded to two decimal places. c. Determine the water use for a five-member household. Answer rounded to two decimal places. thousand liters
Q3. Consider the following data. Period Rate of Return (%) 1 -6.0 2 -8.0 3 -4.0 4 2.0 5 5.4 What is the mean growth rate over these five periods?
1:26 AA www-awn.aleks.com O REGRESSION AND CORRELATION Predictions from the least-squares. Shasia v In ongoing economic analyses, the U.S. federal government compares per capita incomes not only among different states but also for the same state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have been able to predict the 1999 per capita income for a state (denoted by y) from its 1980 per capita income (denoted by x)? The following bivariate data give the per capita income (in thousands of dollars) for a sample of fourteen states in the years 1980 and 1999 (source U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000). The data are plotted in the scatter plot in Figure 1, and the least- squares regression line is drawn. The equation for this line is î=3.09 + 2.47x. 1980 per capita 1999 per capita income, x income, y (in $1000s) (in $1000s) Vermont 8.7 25.9 Hawai…
Stock Market Listed on the top of the next page in order by row are the annual high values of the Dow Jones Industrial Average for each year beginning with 1990. Find the best model and then predict the value for the year 2014 (the last year listed). Is the predicted value close to the actual value of 18,054?
Using the previous regression model, what salary would you expect a student with a 3.1 GPA to expect? Round your answer to 1 decimal and express in $1,000's (same format the Salary variable has in the Excel dataset).
Prices and mileage of 48 Dodge 2500 Pickup trucks with Cummins diesel engines. Prices ranged from $28,925 to $68,650. Mileage ranged from 315 to 186,466. While I did not share the trucks were 2013 to 2020 models. Please show all work. Interpret b0 in the context of this problem. Interpret b1 in the context of this problem. What percent of total variation in prices is explained by the regression model? Provide evidence to support your answer. Price Mileage 52293 34450 50987 23372 62988 21738 37500 81176 66000 23118 47601 71143 47750 18214 42000 32303 50987 23372 28925 143737 42050 58561 51738 9691 51500 23969 44988 48781 29500 114809 46975 16918 63999 15507 46975 16918 43222 50459 38386 87192 42000 68722 62250 14042 62998 21738 32130 103644 52293 34450 52900 68883 53172 3656 53494 315 39594 88441 63246 23631 58250 34974 59391 18383 50650 42737 54976 84200 68650 14401 51114 47433 43900 74106 37450…
So I got A for question #19. How do you approach #21 and #22?
2. The table below gives the sales, S, of Intel Corporation, a leading manufacturer of integrated circuits. 2003 30,100 2004 34,200 2006 2007 2008 Year S (millions of $) 2005 38,800 35,400 38,300 37,600 a. Find the change in sales between 2005 and 2006. b. Find and interpret the average rate of change in sales between 2005 and 2006.
Based on the firm's data and the regression line, answer the following. A. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.50 million dollars? Round your answer to two or more decimal places. B. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 1.62 million dollars? Round your answer to two or more decimal places.
q60
2. The phone rings and the President is calling you. He says, 'Can you please tell me how much of the variability of my popularity rating is explained by the inflation rate? This is the data: Inflation 10 12 8 |14 rate Popularity70 Rating 75 85 84 48
What is the regression equation? (Round to decimal one) The best predicted weight of a bear with a chest size 43 inches is how many pounds???? Round to decimal one)

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