pls help on all, inlcude all steps. 3. For each table of values, calculate and explain whether the data model a linear, quadratic,or exponential relation.a)x 1y3946.223354.33452851.12423.52059.9b)XyXy14594.424546.210-177.434498.0 4449.854401.6152025-6202.4-14 637.4 -25 482.430-38 737.4

To determine whether the data in each table represents a linear, quadratic, or exponential relation,…

Answered: 3. For each table of values, calculate…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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Consider a linear spline with 50 knots. Which of the following statements is correct? The linear spline function is built up of 51 pieces that join together at points whose x-axis coordinates are given by the 50 knots. The linear spline function is built up of 51 pieces that join together at points whose y-axis coordinates are given by the 50 knots. The linear spline function is built up of 51 pieces that are all parallel to the x-axis. The linear spline function is built up of 50 pieces that are all parallel to the x-axis.
4. Max can earn $6/h as a waiter, plus an additional $9/h in tips. a) Graph Max's earnings from wages as a function of hours worked. Cb) Graph Max's earnings from tips as a function of hours worked. ) Develop an algebraic and a graphical model for Max's total earnings. d) How much can Max earn if he works 52 h in one week?
The following table represents the internet advertising revenue (in billions). (x represents the time in years since 2007) Round function values to nearest hundredth a) Find and write out the linear function of best fit for this data. b) Find and write out the exponential function of best fit for this data. c) Find and write out the quadratic function of best fit for this data. d) Create a table of the r squared values together with each of your best fit curves (round to nearest thousandth). e) Copy the best of the best fit functions here. Explain how you picked this function. f) Use your best function to estimate the Internet Advertising Revenue this year. Year 2007 2008 2009 2010 2011 2012 2013 2014 Internet Advertising Revenue (in billions) 21.2 23.4 22.7 25.8 28.5 32.6 36 40.5

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3. For each table of values, calculate and explain whether the data model a linear, quadratic, or exponential relation. a) x 1 y 3946.2 2 3354.3 3 4 5 2851.1 2423.5 2059.9 b) X y X y 1 4594.4 2 4546.2 10 -177.4 3 4498.0 4449.8 5 4401.6 15 20 25 -6202.4-14 637.4 -25 482.4 30 -38 737.4