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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a) Find the equation of the line which is the best fit for the data, with x equal to the number of years after 1999 and y equal to the millions of people b) Ise the model to estimate the number of people who took trips in 2008.
Twelve husbands were asked how much housework they completed last week and how many children were in the home. Use the following data to complete the questions in this section. Write out the linear model. Children Husband’s Housework Children Husband’s Housework 2 4 4 6 1 1 1 3 3 0 3 5 5 4 2 3 1 5 2 1 5 7 4 3
4
What is the answer a,b,c, and d?
Assuming equal effort (# of nets in the water has not changed and the fishing season dates have stayed the same) identify trends in the squid population you see in the data. Based on your textbook reading this week, speculate what processes or dynamics could produce the population trends seen in your data.
2 3 Number of fires x Number of acres burned y Send data to Excel 4 5 6 7 58 47 84 62 57 45 19 26 51 15 30 15 8 9 Forest Fires and Acres Burned An environmentalist wants to determine the relationships between the numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned. The data for 6 recent years are shown. 10 11 olo 12
Data in the table comes from the NASA Global Climate Change website. It gives the average globaltemperature, in Celsius, for the given year. Use both rows for your calculations. For this problem, youwill see how well year correlates with the average temperature. Let ? be the number of years since1984 and ? be the average global temperature in degrees Celsius.Year 1984 1986 1988 1990 1992 1994 1996 1998 2000Temp 0.16 0.18 0.38 0.45 0.22 0.31 0.33 0.61 0.40Year 2002 2004 2006 2008 2010 2012 2014 2016 2018Temp 0.63 0.54 0.64 0.54 0.72 0.64 0.75 1.02 0.85a. Make a scatterplot of the data. Being sure to clearly label each axis. Keep in mind howeach variable is defined. Based on this scatterplot, is a linear model reasonable for this data set?Briefly explain.b. Determine the correlation coefficient for this data. Interpret this value in context.c. Determine the coefficient of determination for this data. Interpret this value incontext.d.State the regression line for the data.e. What does the…
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
The data in the table represents the number of new phone calls a company gets each week after opening. Week After Opening Number of Phone Calls 1 80 2 72 3 63 4 58 5 50 Based on a linear model, predict what week the company should expect 35 calls. Only type the whole number answer in the box. Do not type any words in the box.
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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