2.Consider the following data.123456 72 35 150 500 1250 2500 5000XyApply the whole modeling process:1) Consider a modeling assumption and its linearized version Y = AX + B. Youmay assume that the model is a power function model or an exponential model.2) Test the suitability of the model assumptions.3) Develop a model on this basis by determining the model parameters.4) Test the suitability of your model by comparing it with the original data.Calculate the relative error in % for each data point. Comment on the suitabilityof your model.5) Consider the y value at x=2.5. At which x is this value y(x=2.5) increased by150% according to the model?

Given: x 1 2 3 4 5 6 7 y 2 35 150 500 1250 2500 5000 To find: (a) Given model is a power…

Answered: 2. Consider the following data. 1 2 3 4…

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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Please show work in excel Stars Co. wants to advertise its products in the hope that more advertising will result in more sales. The following data have been collected in the past year showing money spent on advertising in a month and sales on the same month: a) Develop a regression equation to forecast the Sales as a function of the Advertising by drawing a scatter chart in Excel. b) Suppose that the company would like to advertise in the amount of 30 thousands. Estimate the Sales in response to this amount of advertising. Month Sales (Thousands) Advertising (Thousands) Jan 1200 30 Feb 1100 25 March 1220 32 April 990 23 May 1190 31 June 1050 24 July 770 22 Aug 1080 28 Sept 1220 33 Oct 1140 25 Nov 740 19 Dec 790 20
3
A researcher feels that global warming may be reducing average rainfall in Perlis for the past 10 years. The researcher is interested in making predictions for future rainfall. The 10 years data of the rainfall in Perlis is shown in Table 4. Table 4 Year Amount (cm) 2009 40 2010 39 2011 41 2012 29 2013 32 2014 30 2015 15 2016 10 2017 11 2018 20 (a) Without using any software, construct a simple linear regression model for the above data. (b) Predict the rainfall for the year 2019 and 2020.
Q12 a) Construct a regression model to determine the relationship between individual yearly income and the value of the car owned. b) Using the regression equation from (a) determine the value of the car if the yearly income is $40,000 c) Describe the relationship between yearly income and value of the car owned d) Identify the independent variable and dependent variable based on the regression model constructed in (a) e) Explain why it is incorrect to predict the value of the car if an individual income is $10,000
QUADRATIC REGRESSION 1) The following table shows the population in a certain country between the years 1880-1980 (img 1) A. Make the scatterplot and propose the approximating curve. B. Find the equation of the least squares parabola that best fits the data C. Calculate the estimated (trend) values for the data indicated in the table and compare them with the true ones. D. Using the equation, estimate the population in 1990 and 2000. E. Using the equation, estimate the population in 1860 and 1870.
Plzz give the answer of all questions
Consider the simple linear regression model Wage = Bo + B1*Age + U. The error term U can capture the followings, with the exception of O A. possible measurement error in Wage. O B. the temperature in London Ontario tomorrow. O C. possible model misspecification, such as the nonlinear effect of Age on Wage. O D. other variables that affect the dependent variable, such as previous work experience.
Please answer the 3 questions below
The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Round your answers to 3 decimal places y= Raspberry Type Farm A - North Field Farm B - North Field Farm A - South Field Farm B - South Field Farm C -Small Field Farm D Farm E x+ grams 60 65 70 75 80 85 90 Vitamin C content in mg 14.3 16.1 18.9 20.3 22.8 25.5 27.5 According to this model, how many mg of Vitamin C can be expected in a raspberry that weighs 82 grams Round to 3 decimal places.

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