The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995.220-210-200190-180-170-160-150-140-130-120-110100Year Retail Sales03691215Let y be the retail sales in billions of dollars in x years since 1995. A linear model for the data isY = 9.44x + 84.182.90-80¹85.851108.426141.781169.256202.297222.2666912Use the above scatter plot to decide whether the linear model fits the data well.The function is a good model for the data.O The function is not a good model for the dataEstimate the retails sales in the U. S. in 2017.billions of dollars.Use the model to predict the year in which retails sales will be $235 billion.

Given model is Y=9.44 x+84.182 In 2017, x=2017 -1995 =22 The predicted value is Y=9.44 x+84.182…

Answered: The following table shows retail sales…

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 follow table shows total dollar sales (in thousands) for a local retailer for various years. Year 2019 2020 2021 2022 2023 Sales ($) 16 21 26 31 36 a) What was the dollar amount of sales for 2022? $ b) By how much did sales increase each year? $ c) Find a linear function S(x) that models the above data, where x is the number of years after 2018 (so that the year 2019 corresponds to x = 1, the year 2020 corresponds to x = 2, and so on) and S(x) is the dollar amount of sales in thousands. S(x) = X + d) Use S(x) to predict sales in 2025. $ If needed, round answer to 5 decimal plates. Enter DNE for Does Not Exist, oo for Infinity Question Help: Message instructor Submit Question thousand thousand thousand
Show your work please.
The below data represent the advertising expenditure and sales of Liu Liu Ltd from year 2010 to 2019. Table: Advertising Expenditure vs. Sales from 2010 to 2019 Year Advert. Expenditure Sales Growth rate of Ad. Expenditure Growth rate of Sales (x, £000) (y, £000) 2010 19 84 2011 22 108 18% 29% 2012 32 82 46% -24% 2013 42 86 32% 6% 2014 47 84 11% -3% 2015 46 94 -2% 11% 2016 58 103 27% 10% 2017 63 115 8% 12% 2018 70 106 11% -8% 2019 80 142 15% 34% Total 479 1004 a. What is the statistical relationship shown in the table and list out 3 characteristics of this relationship?
The following chart shows the actual sales for the last 12 months for a given company. Assume that sales are best fit by a linear trend and you can use single linear regression to set up a forecasting model. Using the sales data answer below questions (justify your answers): A.What would be the typical linear regression equation for the number of sales? B.Make the sales forecast for period 15 of next year. C. Make the sales forecast for period 17 of next year. D. What is the standard error for the data?
The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The following data represents the value in 2014 (in $millions) and the annual revenue (in $millions) for the 30 Major League Baseball franchises. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Team Revenue Value Baltimore 245 1000 Boston 370 2100 Chicago White Sox 227 975 Cleveland 207 825 Detroit 254 1125 Houston 175 800 Kansas City 231 700 Los Angeles Angels 304 1300 Minnesota 223 895 New York Yankees 508 3200 Oakland 202 725 Seattle 250 1100 Tampa Bay 188 625 Texas 266 1220 Toronto 226 870 Arizona 211 840 Atlanta 267 1150 Chicago Cubs 302 1800 Cincinnati 227 885 Colorado…
Z Connect Hill Module 2 HW 14 (Section 7.2 Confidence Intervals for a |MATH Hosted by ALEKS Corp. Population Mean, Standard Deviation Unknown) Question 4 of 5 Sound it out: Phonics is an instructional method in which children are taught to connect sounds with letters or groups of letters. A sample of 131 first-graders who were learning English were asked to identify as many letter sounds as possible in a period of one minute. The average number of letter sounds identified was 34.11 with a standard deviation of 23.91. Part 1 of 2 (a) Construct a 99.5% confidence interval for the mean number of letter sounds identified in one minute. Round the answers to at least two decimal places. A 99.5% confidence interval for the mean number of letter sounds identified in one minute is <µ< Part 2 of 2 (b) If a 99% confidence interval were constructed with these data, would it be wider or narrower than the interval constructed in Part (a)? The confidence interval would be (Blank 1) Blank 1 Options •…
Suppose that the number of tee shirts sold (N) depends linearly on the price charged (x). Write an equation showing this dependence.
I need the right answer to a and b.
The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Round your answers to 3 decimal places y= Raspberry Type Farm A - North Field Farm B - North Field Farm A - South Field Farm B - South Field Farm C -Small Field Farm D Farm E x+ grams 60 65 70 75 80 85 90 Vitamin C content in mg 14.3 16.1 18.9 20.3 22.8 25.5 27.5 According to this model, how many mg of Vitamin C can be expected in a raspberry that weighs 82 grams Round to 3 decimal places.

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