KThe accompanying data represent the yearly amount of solar power installed (in megawatts) in a particular area from 2000 through 2008. The trend forecasting equations below were found, where X is the number of years after 2000. Complete parts (a) through (d) below.Y = -9.156+28.5667X, Y₁ = 22 46 +1.467X₁ +3.3874X²Click the icon to view the data table.a. Compute the standard error of the estimate (Syx) for each model.LinearQuadraticSyx(Round to three decimal places as needed.)b. Compute the MAD for each model.LinearQuadraticMAD0(Round to three decimal places as needed.).c. On the basis of (a) and (b) and the principle of parsimony, which forecasting model would you select?The model with thevalues of Syx and MAD should be used, which is thequadraticlinearmodel.autoregressive4exponentialYearly Amount of Solar Power InstalledYear200020012002200320042005200620072008Amount(megawatts)162844718598142209253PrintDDoneXClear allCheck answer803:21 PM01/28/2024

Given is the data on number of solar powers installed.We will use R software for calculations.

Answered: The accompanying data represent the…

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 amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). C (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely normally distributed. O E. The variable "weekly time spent watching television" likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for "time…
The following scatter-plot shows the decreasing trend in Motor Vehicle Theft. Interpret (using a sentence) the slope. Motor Vehicle Theft 1,800,000 1,600,000 y = -195,848x + 1,841,017| 1,400,000 1,200,000 1,000,000 800,000 600,000 400,000 200,000 1985 1990 1995 2000 2005 2010 2015 2020 Year Between 1990 and 2104 Motor Vehicle Thefts decrease by a total of 195,848 Between 1990 and 2014 the total number of Motor Vehicle Thefts decreased by 195,848 to a reach a total of 1,841,017 in 2014 Between 1990 and 2014 the total number of Motor Vehicle Thefts was 1,841,017 Between 1990 and 2014 the average yearly decline in Motor Vehicle Deaths was 8,160/ year Between 1990 and 2014 the number of Motor Vehichle Thefts decreased on average by 195,848 per year Number of vehicle thefts
Part c?
Give typed full explanation
A real estate company specializing in sales of farms would like to know if their salespeople's sales can be predicted based on the number of years with the company. The years of experience is the explanatory variable and number of sales the predictor. The data is recorded in the tables below. Calculate the intercept (rounded off to four decimals). 1. 3 2 4 4 6 8 8. 9 12 10 10
:0 F1 @ 2 F2 W S For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the National League teams for the year 2002. The variable x denotes the 2002 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the team's home games that year. The data are plotted in the Figure 1 scatter plot. Arizona Atlanta Chicago Cubs Cincinnati Colorado Florida Houston Los Angeles Milwaukee Montreal New York Mets Philadelphia Pittsburgh San Diego San Francisco St Louis Send data to calc.... Check Mean Player payroll, x attendance, (in $1,000,000 s) #3 80 F3 103.5 93.8 E ✓ D 75.0 46.3 56.6 40.8 65.4 101.5 49.3 37.9 94.4 59.6 46.1 41.8 78.4 76.2 $ 4 The least-squares regression line for these data has a slope of approximately 0.34. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary,…
The ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 54.22) (2000, 52.13) (1988, 53.23) (2004, 52.14) (1992, 52.94) (2008, 51.42) (1996, 52.80) (2012, 51.30) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let t = 84 represent 1984. (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y = (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y =
Part II: Joe and his Dream Porsche Joe is 16 years old and has decided that he wants a brand-spankin' new Porsche Boxter Convertible, but his mom says there's no way that he could ever afford it! So, Joe has decided to show his mom that he will be able to purchase his dream car at the age of 35 if he plans his finances just right. He's asked you to help him plan. A. How much will his car cost in 19 years? The following table shows the approximate MSRP (manufacturers suggested retail price) of a Porsche Boxter Convertible from 2004 to 2008. Create a scatter plot of the data and determine the line of best fit, finding an appropriate slope and initial value assuming it started in 2004.. Year MSRP 2004 $57 510 2005 $59 130 2006 $60 750 2007 $61 965 2008 $63 600 B. Financing Joe's new Porsche Joe knows that he will have to put 10% down on his car. To save up for this down payment, he plans on investing a set amount monthly, starting now, into Teen's Choice Financial's Interest Plus Savings…
Option C is incorrect
Cell Phones Using the CTIA Wireless Survey for1985–2009, the number of U.S. cell phone subscribers (in millions) can be modeled byy = 0.632x2 - 2.651x + 1.209where x is the number of years after 1985.a. Graphically find when the number of U.S.subscribers was 301,617,000.b. When does the model estimate that the number ofU.S. subscribers would reach 359,515,000?c. What does the answer to (b) tell about this model?
Do the plots show any trend? If yes, is the trend,Why or why not?
The ordered pairs below give the winning times (in seconds) of a 100-meter freestyle swim race at a regularly-held competition from 1984 through 2012. (1984, 55.12) (2000, 53.03) (1988, 54.13) (2004, 53.04) (1992, 53.84) (2008, 52.32) (1996, 53.70) (2012, 52.20) (a) Sketch a scatter plot of the data. Let y represent the winning time (in seconds) and let t = 84 represent 1984. (b) Sketch the line that you think best approximates the data and find an equation of the line. (Round the slope and y-intercept to one decimal place.) y = (c) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. (Round the slope and y-intercept to two decimal places.) y = (d) Compare the linear model you found in part (b) with the linear model you found in part (c). The models are not similar.The models are similar.

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