QUESTION 10e to searchMake a scatter plot of the data and determine which type of model best fits the data.YF3X-11-23ole02O linearquadraticexponentialsquare rootF48216Click Save and Submit to save and submit. Click Save All Answers to save all answers.yx0.541IIF5OF6B90DELLF7F8F9

Answered: Make a scatter plot of the data and…

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 biology student is investigating the claim that the temperature can be predicted by counting cricket chirps. She has found a linear regression equation T=42.2+0.21r, where T is the temperature in degrees Fahrenheit and r is the number of chirps per minute. What is the predicted temperature for 90 chirps per minute? 18.9 degrees 227.6 degrees 23.3 degrees 61.1 degrees
3. please answer this . Use the model found above to answer this question. What is the estimated revenue of Amazon in 2049? billion US dollars. Round to the nearest billion US dollars.
Use the data shown in the graph to write a quadratic regression equation. Then predict the box office revenue in 2013. Let x represent the number of years since 2000. Millions of dollars 32- 189 31+ 30- Box office revenue 28.9 29.4 28.7 30.8 29- 28- 27- 2004 2005 2006 2007 2008 2009 Year
Create a quadratic model for the data shown in the table 1 -1 X -1 -1 y Oy=0.85r² +0.11 - 1.78 y = 0.98x² -0.74 - 0.82 y = 0.112²1.78x +.9998 X y = -0.85x² -0.11x +1.78 2 2 5 20
Hazel has four very short children and wants to predict how tall the kids will be in the future, as they get older she measures their height and finds: Rufus, age 3, 46 cm in height Angus, age 4, 52 cm in height matilda, age 6, 63 cm in height Lao age 8, 85 cm in height Round to the nearest integers, what is the regression equation computed from the data
The y intercept in a regression equation is represented by y hat a. True b. Fakse
I need the right answer to a and b.
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.
The table below shows the results from a study that compared speed (in miles per hour) and average fuel economy (in miler per gallon) for cars. Find a quadratic model for the data. Fuel Speed Economy (mph) (mpg) 15 22.3 20 25.5 25 27.5 30 29.0 35 28.8 40 30 45 29.9 50 30.2 55 30.4 60 27.4 28.8 65 70 25.3 y = 25.836x+0.049 y = 13.472x2+0.746x- 0.008 y = -.008x? +0.746x + 13.472 y = 0.049x + 25.836

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Make a scatter plot of the data and determine which type of model best fits the data. X - 1 1 -2 3 0 2 linear quadratic exponential square root 8 2 16 0.5 4 1