The mean number of seats on U.S. domestic flights was 102 in 2013 and increased by about 3.2 seats peryear until 2018. Let n be the mean number of seats on U.S. domestic flights at t years since 2013.a.Find an equation of a linear model to describe the situation.b. Use the formula from part (a) to estimate in which year the mean number of seats was 115 ondomestic flights. Show complete steps solving the equation and clearly state your answer incontext of the problem.

In a linear model, there will be a response variable and this response will be written as a function…

Answered: The mean number of seats on U.S.…

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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In a certain country, total alcoholic beverage sales are reported throughout the year. Sales were reported as $118.5 billion at the beginning of 2004 and $136.2 billion at the beginning of 2006. (a) Let the x-axis denote time and the y-axis denote the amount of alcohol sales (in billions), Let x = 0 correspond to 2004. Fill in the blanks: The given data is represented by the points ( 118.5) and (2, ). (b) Find the linear equation determined by the two points in part (a). (c) Use the equation in part (b) to estimate the alcohol sales produced in 2005. (d) If the model remains accurate, in what year will reported alcohol sales reach $150 billion? (a) The given data is represented by the points (,118.5) and (2,). (Type integers decimals rounded to one decimal place.) (b) The linear equation determined by the two points in part (a) is y =x+. (Type integers or decimals rounded to one decimal place.) (c) The alcohol sales produced in 2005 are approximately $ billion. (Type an integer or…
Describe how the values of a and b in the linear model y = ax +b are related to the data being modeled. In general, the a, of a linear model represents how the two types of data change in relation to one another. The b, of a linear model represents the starting value. Click to select your answer(s) and then click Check Answer.
8. Egg production in the United States was 12936.8 million pounds in 2016 up from 9074.4 million pounds in 1996. Assume that the increase is linear. Write a formula for the situation. round values to thousandths. Define variables as Y = Years since 1996and E = Eggs in ? of pounds a. Formula: b. Use your formula and algebra to complete the sentence: The number of eggs produced will surpass 14000 million in the year
7) The average value of collectible gold coins was $3,120 in 2000 and appreciated to $9,340 in 2020. Let y be the average value of a coin in the year x, where x = 0 represents 2000. Write a linear equation that models the value of a coin in terms of the year x.
Assume that in one country in 2005, 12.5% of the population was 65 or older. By 2050, this percent is expected to be 21.05%. The percent of the population ages 25-34 in 2005 was 13.9%. That age group is expected to include 13.1215% of the population in 2050. A.) Assuming these population changes are linear, use the data for the 65 or over age group to write a linear equation. Then do the same for the 25-34 age group. Let x=0represent 2005 and x=45 represent 2050. Express percents in decimal form. A1.) For the population of 65 or older the equation is y=________. A2.) For the population of 25-34 years the equation is y=________. B.) Solve the system of linear equations from part (a). In what year will the two age groups include the same percent of the population? What is that percent? B1.) The age groups include the same percent of population in the year_______. (Do not round until the final answer. Then round to the nearest year as needed.) B2.) The percent…
An electronics store sells new and used Z-phones. The store manager made the scatter plot below to show the selling prices of used Z-phones and their ages, in monthsIf these data are modeled by the line y=-10x+410, which best describes a valid prediction the manager could make, based on the dataA.If the store sells a Z-phone that is 30 months old, it will probably sell for only $50B.If the store sells a brand-new Z-phone, it can expect a customer to pay about $410C.For every one-month increase in phone age, the price a customer will pay increases by about $10D.For every one-year increase in phone age, the price a customer will pay decreases by about $10
if the equation of the line of best fit is y=3.87x+15.52 for an increase of one hour in the time spent studying what is the predicted increase in the midterm score
biologist was recording various temperatures (in degrees Celsius) and predicting the amount of glucose produced by a plant (in milligrams). Suppose the linear equation was the following: ?̂ = 12.7 − 0.223? a) Interpret the slope of the regression line.
The 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. = -10.711 +28.9000X₁ ₁ = 22.70 +0.259X; +3.5801X? Click the icon to view the data table. a. Compute the standard error of the estimate (Syx) for each model. Linear Quadratic Syx 22.431 8.032 (Round to three decimal places as needed.) b. Compute the MAD for each model. Linear Quadratic MAD 64.222 66.873 (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 the smallest values of Syx and MAD should be used, which is the quadratic model.
Flying twice as farA flight from Los Angeles to ABQ is about 2 hours but is 670.2 miles.A flight from San Jose to Chicago is 4 hours but is 1859.0 miles.Can anyone explain why the travel time from San Jose to Chicago is notlonger and closer to 5.75 hours?If the distance increase by 2, shouldnt the time increase by a factorof 2 as well?1. Write a linear model for this question. Takeoff and landing will take a fixed amount of time. Actualtravel in the air will take time proportional to the distance traveled. Think about which of thevariables (time and distance) is the independent variable, and identify the slope and intercept withtheir units.2. Use the data in the quotation to estimate the two constants in your linear model.
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The following linear regression model can be used to predict ticket sales at a popular water park. Ticket sales per hour = - 631.25 + 11.25(current temperature in °F)23) Choose the statement that best states the meaning of the slope in this context. A) The slope tells us that a one degree increase in temperature is associated with an average increase in ticket sales of 11.25 tickets. B) The slope tells us that high temperatures are causing more people to buy tickets to the water park. C) The slope tells us that if ticket sales are decreasing there must have been a drop in temperature. D) None of these

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