The following table shows retail sales in drug stores in billions of dollarsin the U.S. for years since 1995.Year03691215Let S(t) be the retails sales in billions of dollars in t years since 1995. Alinear model for the data is F(t) = 9.44t + 84.182.220-210-Retail Sales85.851108.426141.781169.256202.297222.266200-190-180-170-160-150-140-130-120-110-100-90-8043912Use the above scatter plot to decide whether the linear model fits thedata well.The function is a good model for the data.The function is not a good model for the dataEstimate the retails sales in the U. S. in 2014.dollars.Use the model to predict the year in which retails sales will be $250billion.billions of

The given linear model is Ft=9.44t+84.182.

Answered: 12 15 Let S(t) be the retails sales in…

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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How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 15 21 y 60 95 140 172 173 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. A scatter diagram has a horizontal axis labeled "x (age (in months))" with values from 60 to 173 and a vertical axis labeled "y (average weight (in kg))" with values from 3 to 21. The scatter diagram has 5 points. A pattern goes up and right from (60, 3) to (173, 21). A scatter diagram has a horizontal axis labeled "x (age (in months))" with values from 3 to 21 and a vertical axis labeled "y (average weight (in kg))" with values from 60 to 173. The scatter diagram has 5 points. A pattern goes down and right from (3, 173) to (21, 60). A scatter diagram has a horizontal axis labeled "x (age (in months))" with values from 3 to 21 and a vertical axis labeled "y (average weight (in kg))" with…
Let ŷ represent the profit (in thousands of dollars) for a certain company xx years after 1965. A statistician calculates a linear model ŷ = 0.38xx + 15Use the model to estimate the profit in 1973. Your answer should be in dollars, not thousands of dollars.Profit =$
The following scatterplot shows the cost per household of the US census where y = 2010 dollars and x = years since 1970. What is the slope of the linear trendline, = 2.3488x + 5.934, telling us?
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
HELP!! PLEASE!!! (Show work) Thank you
Carbon Dioxide Emissions The table gives the millions of metric tons of carbon dioxide emissions frombiomass energy combustion in the United States forselected years from 2010 projected to 2032.a. Find a linear function that gives the millions ofmetric tons of carbon dioxide emissions, y, asfunction of x, the number of years after 2010.b. Graph the model on the same axes with the data.Is it a good fit for the data?c. What does the (unrounded) model predict the millions of metric tons of carbon dioxide emissionswill be in 2027? d. When will the millions of metric tons of carbondioxide emissions reach 776.6, according to themodel?
Cheick is investigating how long his phone's battery lasts (in hours) for various brightness levels (on a scale of 0-100). His data is displayed in the table and graph below. Brightness Level (x) Hours (y) 23 6.7 27 5.9 30 7.3 36 7.2 71 3.8 72 3.6 85 3.1 94 1.9 (a) Use the Corr/Regression to find the equation for the line of best fit. Round your answers to two decimal places. ˆy = 8.74 + -0.07x (b) Interpret the slope in context. Cheick expects the battery life to go down by 0.07 hours for each increase of 1 in the brightness level. Cheick expects the brightness to decrease by 0.07 for every hour that goes by. Cheick expects his phone battery to last 0.07 hours if he keeps the brightness level at 0. Cheick expects his phone battery to last 8.74 hours if he keeps the brightness level at 0. Correct (c) What does the equation predict for the number of hours the phone will last at a brightness level of 36? 6.2 hours Round your answer to…

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