The table below gives the results of measuring the electrical conductivity C of glass at temperature Tdegrees Fahrenheit.Tс860.0041480.0181660.0291880.0512020.0732100.090Use regression to find the exponential function C=aebT that will satisfy the given table. Find the valueof T if C = 0.0712.Round off your final answer to five decimal places but do not round off in preliminary calculations.

Given, T C 86 0.004 148 0.018 166 0.029 188 0.051 202 0.073 210 0.09

Answered: The table below gives the results of…

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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Consider the following regression equation: log Yni = log 3.07 + 0.9 log X1i + 1.41 log X2ia. Predict the value of Y when X1 = 8.5 and X2 = 5.2 How do you calculate this answer in excel?
5.1 The total distance covered by the object in the first 6 seconds. 5.2 The displacement of the object in the first 6 seconds. 5.3 The average speed during the whole trip. 5.4 The average velocity during the whole trip. 5.5 The instantaneous velocity at t=Bs. x (m) 4- 3. -1+ -2
This table of ordered pairs contains elements of a function x. y 3 4 1.5 2.5 Determine the exponential equation for the curve of best fit. Oy 1.7(0.2)* Oy 0.2(1.7)* Oy =14(0 5)* Oy =0.5(14)* 1. 2.
Annabelle records the length, in inches, of a colored pencil over time. Review the table showing her data. Time (Weeks) Length (Inches) 0 7.5 2 7.5 4 7 5 6 7 2 8 1 10 0.5 12 0.25 13 0.2 Which description best fits the regression model for the data? logistic equation of the form y = , witha = 7.576, b = 0.001, and c = –1.107 logistic equation of the form y = , witha = 0.001, b = –1.107, and c = 7.576 trigonometric equation of the form y = a sin(bx + c) + d, with a = 4.15, b = 0.34, c = 497.43, and d = 3.80 trigonometric equation of the form y = a sin(bx + c) + d, with a = –4.15, b = –0.34, c = –497.43, and d = 3.80
The table below shows the number of individuals infected with a disease t days after its first detected by the CDC. Days 1 2 3 Infected Individuals 700 730 740 For each of the following problems, enter regression equation values with at least 3 decimal places. Enter predictions to the nearest whole individual. y 8 4 5 6 7 777 804 830 859 892 Use regression to find an exponential equation that best fits the data above. The equation has form y = ab* where: If using Desmos, click "Log Mode". Use the model to predict the number of individuals infected with the disease after 18 days. individuals
The pressure in pounds per square inch was measured at various altitudes of h, in kilometers (km), above Earth's surface. The results are shown in the following table. Altitude (km) 0 10 20 30 40 50 60 70 80 Pressure (lb/in2) 14.7 11.91 9.315 7.64 6.129 4.637 3.676 3.193 2.358 Use exponential regression to find an exponential function for the pressure, P, at an altitude of h km. Round constants to the nearest thousandth. P = Use the model to predict the atmospheric pressure (in lb/in2) at an altitude of 19 km. Round to the nearest tenth. ? lb/in2
Stores commonly offer a cheaper unit price for large quantity purchases. Quantity Unit Price 100.00 80.00 70.00 50.00 40.00 1 2 5 10 20 a. Use regression to find a logarithmic equation to model the data. Round the numbers in your equation to 2 decimal places. y = a + bln(x) with a= b = b. Use your equation to find an appropriate quantity for a customer who wishes to get a $35 unit price, accurate to the nearest whole number. c. Use your equation to find an appropriate quantity for a customer who wishes to get a $60 unit price, accurate to the nearest whole number.
The table shows the yield (in bushels per acre) and the total production (in millions of bushels) for corn in a country for selected years since 1950. Let x represent years since 1900. Find a logarithmic regression model (y = a +b ln x) for the yield. Estimate the yield in 2023. Year 1950 1960 Yield 50 37 60 1970 1980 60 84 93 70 80 1990 90 116 2000 2010 100 136 110 157 The regression model is y =+( In x. (Round to one decimal place as needed.) bushels/acre. The estimated yield in 2023 is (Round to the nearest integer.)
Use the Atmospheric Carbon Dioxide Concentration scatterplot below to answer the questions. Atmospheric Carbon Dioxide Concentration 1970-2012 400.00 380.00 2011, 391.63 360.00 340.00 y = 1.6178x - 2864.6 R = 0.994 320.00 300.00 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 Year Use the equation to estimate the CO2 level in 2011. (round to the tenths place) wdd u zoɔ

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