9.The number of Internet users in a country for various yearsare shown in the table below.Let n be the number (in millions) of Internet users in thecountry at t years since 1995. A model of the situation isn=21.4t+17.2.Internet users in the countryYear199619971998199920002001200220032004Number of users(millions)376082103124144165185206a) Draw in the linear model that was given. Use the same grid as for the scattergram. Show at least twosolutions below in a table.b) Create a scattergram for the data. Make room for years from 1995 to 2009. Allow for a number of usersup to 350 million users.c) Find and label the slope. Interpret the slope in terms of the application.d) Find and label the y-intercept. Interpret the y-intercept in terms of the application.e) Use the model drawn (your graph) to predict the year when the number of users will reach 250 millionusers. Round to the nearest year.f) Check your work using the graphing calculator.

Given: The number of internet users in a country for various are shown in the table. Year Number…

Answered: 9. The number of Internet users in a…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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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. grams Vitamin C content in mg 55 11.9 60 13.7 65 15.9 70 18.5 75 20.8 80 23 85 25.8 A) Find the regression equation: places y= + Round your answers to 3 decimal B) Answer the following questions using your un-rounded regression equation. If we test 115 grams of raspberries what is the expected Vitamin C content? nearest tenth) mg (round to the
15.) Complete the below table by determining the pattern. Then decide if the relationship is linear or exponential. Input Output 25 I 28 31 1. 2. 3. 4.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.1 7.1 3.9 2.9 2.6 2.1 0.7 13.7 10.7 10.2 7 6.5 6.5 5.7 4.7 thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the linear equation 0.83x + 4.08 a. How many murders per 100,000 residents can be expected in a state with 10.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 2.5 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents
What is the answer a,b,c, and d?
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. grams 50 60 70 80 90 100 110 Vitamin C content in mg 9.3 14.3 18.9 23.5 27.5 31.7 36.9 A) Find the regression equation: y = places x + Round your answers to 3 decimal B) Answer the following questions using your un-rounded regression equation. If we test 140 grams of raspberries what is the expected Vitamin C content? nearest tenth) mg (round to the
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. Vitamin C content in mg grams 45 7.3 55 11.5 65 15.9 75 20.3 85 25.8 95 29.2 105 33.9 A) Find the regression equation: y = Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 135 grams of raspberries what is the expected Vitamin C content? mg (round to the nearest tenth)
Let s be a person's annual salary (in thousands of dollars) after she has worked for t years at a company. Some pairs of values of t and s are shown in the table below. t (years) 0 1 3 6 s (thousands of dollars) 54 57 63 72 a) Create a scattergram of the data. b) Draw in a linear model on the same grid. c) Use your graph to estimate when the person's salary will be $66 thousand. (Show your work on the graph.) d) What is the s-intercept of the model? Interpret it in terms of this application.
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. grams Vitamin Ccontent in mg 65 16.4 75 20.8 85 24.7 95 30 105 34.9 115 39.5 125 43.7 A) Find the regression equation: y=y= x+x+ Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 155 grams of raspberries what is the expected Vitamin C content? mgmg (round to the nearest tenth)
Year CBU Tuition 3 4440 5000 7 5800 6570 11 7450 13 8370 15 9315 17 10420 19 11590 21 12760 A scatter plot for the data and a graph of a linear model in black and a quadratic model in red follows. 13000- 12000 11000- 10000 9000 8000- 7000 6000 5000 4000- 6 12 15 18 21 Use the above scatter plot to decide which model better fits the data. none linear quadratic
A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86 Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

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