The numbers of polio cases in the world are shown in the table for various years.Year Number of Polio Cases (thousands)198819921996200020052007f(t)Let f(t) be the number of polio cases in thousands t years since 1980.Use a graphing calculator to draw a scattergram of the data. Is it better to model the data by using a linear orexponential model? Select an answer ✓Find an equation of f. Hint3501383453.21.3HintThe number of polio cases is Select an answerPredict the number of polio cases in 2020.Round the coefficients to 4 decimal places.yearsbyby Select an answe per year.Select an answePredict in which year there will be 1 case of polio. HintFind the approximate half-life of the number of polio cases. Hint

Consider the provided question,Let f(t) be the number of polio cases in thousands t years since…

Answered: The numbers of polio cases in the world…

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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Ocean currents are important in studies of climate change, as well as ecology studies of dispersal of plankton. Drift bottles are used to study ocean currents in the Pacific near Hawaii, the Solomon Islands, New Guinea, and other islands. Let x represent the number of days to recovery of a drift bottle after release and y represent The distance from point of release to point of recovery in km/100. The following data a representative of one study using drift bottles to study ocean currents. x day 72 79 32 96 203 y km/100 14.8 19.6 5.3 11.8 35.1 Σx=482 Σy=86.6 Σx2=62874 Σy2=2002.54 Σxy=11041.7 r=.93787 use a 1% level of significance to test the claim p>0.(use 2 decimal places) t=critical t= Se=4.4913 a=1.4966 b=.1641 D) find the predicted distance (km/100) when a drift bottle has been floating for 80 days.(use 2 decimal places) find a 90% confidence interval for your prediction of part D. (use 2 decimal places) lower limit=___km/100upper limit=___km/100 he was a 1% level of…
A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 10 7 6 10 0 9 1 6 Books 0 0 -0 0 9 0 9 -0 Use the model to predict the number of books read per year for someone who watches 3 movies per year.Books per year = (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: The slope has no practical meaning since people cannot read a negative number of books. As x goes up, y goes down. For every additional movie that people watch each year, there tends to be an average decrease of 0.98 books read. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If someone watches 0 movies per year, then that person will read 8 books this year. The best prediction for a person who doesn't watch…
As a researcher, you are interested if there is a significant difference in immunizations in those in low socioeconomic status and those in high socioeconomic status. To evaluate this you use the data below to calculate a Chi-Square (X2). Socioeconomic Status Socioeconomic Status Total High Low Immunized 1000 500 1500 Not Immunized 250 750 1000 Total 1250 1250 2500
Cell Phones Using the CTIA Wireless Survey for1985–2009, the number of U.S. cell phone subscribers (in millions) can be modeled byy = 0.632x2 - 2.651x + 1.209where x is the number of years after 1985.a. Graphically find when the number of U.S.subscribers was 301,617,000.b. When does the model estimate that the number ofU.S. subscribers would reach 359,515,000?c. What does the answer to (b) tell about this model?
Table 3 gives the market value of a luxury sedan (in dollars) xyears after its purchase. Find an exponential regression model of the form y= ab* for this data set. Estimate the purchase price of the sedan. Estimate the value of the sedan 10 years after its purchase. Round answers to the nearest dollar. TABLE 3 Value ($) 1 23,125 19,050 3 15,625 11,875 5 9,450 6 7,125 2.
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. Determine whether a linear or an exponential function is the better fit for the data in the table. Then findthe equation of the function with three-decimal-placeaccuracy
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Range of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂ = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…
Take a look at this reference sheet: http://bit.ly/2yGbKiB The scatter plot shows the number of hits and number of home runs for $$20 baseball players who had at least $$10 hits last season. The table shows the values for $$15 of those players. The model represented by y=0.15x−1.5 is graphed with the scatter plot. Player B was the player who most outperformed the prediction. How many hits did Player B have last season?
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1118 796 1161 918 1103 1219 Temperature (F) 82 72.2 92.2 73 87.5 94.4
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