The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995.Year Retail Sales03691215220210-200190-180170160-150140-130-120-110-100-9080+85.851108.426Let y be the retail sales in billions of dollars in x years since 1995. A linear model for the data isY = 9.44x+84.182.141.781169.256202.297222.2660°91215Use the above scatter plot to decide whether the linear model fits the data well.O The function is not a good model for the dataThe function is a good model for the data.Estimate the retails sales in the U. S. in 2011.billions of dollars.Use the model to predict the year in which retails sales will be $239 billion.

Given data: Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15…

Answered: The following table shows retail sales…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 8PT: Does Table 1 represent a linear function? If so, finda linear equation that models the data.

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Similar questions

Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?
The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?
The U.S. Census tracks the percentage of persons 25 years or older who are college graduates. That data forseveral years is given in Table 4[14]. Determine whether the trend appears linear. If so, and assuming the trendcontinues. in what year will the percentage exceed 35%?
What is regression analysis? Describe the process of performing regression analysis on a graphing utility.
Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use exponential regression to fit a model to these data. b. If spending continues at this rate, what will the graduate’s credit card debt be one year after graduating?
Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
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. grams5565758595105115Vitamin Ccontent in mg11.916.321.225.829.833.639.5 A) Find the regression equation: y= x+Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 145 grams of raspberries what is the expected Vitamin C content? mg(round to the nearest tenth)
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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. grams55606570758085 Vitamin Ccontent in mg11.614.115.918.920.322.825.5 A) Find the regression equation: y= x+Round your answers to 3 decimal placesB) Answer the following questions using your un-rounded regression equation. If we test 115 grams of raspberries what is the expected Vitamin C content? mg(round to the nearest tenth)
In linear regression analysis, the coefficient for the x-variable when the y-variable is regressed on the x-variable can be thought of as: Note: more than one answer may be correct Group of answer choices How much the value of the predicted y-variable will change when the x-variable changes by one unit. In the simple (two variable) linear regression model, the coefficient can be thought as the slope coefficient that measures the responsiveness of y to changes in x. The estimated coefficient will change if the sample containing x and y changes. The sample coefficient is an estimate of the population coefficient Before interpreting the coefficient for the x-variable, we should test whether the coefficient is statistically significant.
Table #2.3.7 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Create a scatter plot and state if there is a relationship between the value of the house and the annual rental income. Table #2.3.7: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192…
The data in the following table indicate that between the ages of 1 and 11, the human brain does not grow linearly, or steadily. A scatter plot for the data is shown below the table. The graphing calculator screen to the right displays the percentage of an adult brain, y, for a child at age x, where 1 sxs11. Use this information to complete parts (a) through (c) below. LnReg y = a+b ln x a = 29.67892724 b= 29.78535801 E Click the icon to view the table. W Click the icon to view the scatterplot. a. Explain why a logarithmic function was used to model the data. Choose the correct answer below. O A. The data increase rapidly and then continue to increase even more rapidly. B. The data increase at a steady rate. OC. The data increase rapidly and then begin to decrease. D. The data increase rapidly and then begin to level off. b. Use the graphing calculator screen to express the model in function notation, with numbers rounded to the nearest whole number. f(x) = (Type an expression using x…

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