Illustration 12.5. Fit a straight line trend to the data given hereby the method of least squares:Year1959 1960 19611962 · 1963 1964 1965Gross exfactoryValue of output6728241205 1464 1758 2058(Rs crore)

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Answered: Illustration 12,5. Fit a straight line…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1x�^=�0+�1�. Round the slope and y-intercept to the nearest thousandth. Grades on Midterm and Final Exams Grades on Midterm 7171 6262 7878 9494 8383 8181 8080 9494 8585 6262 Grades on Final 8888 7979 8888 9191 8080 7070 7171 9393 6565 7777
Explain the curvilinear regression analysis?
The scatter plot below shows the average cost of a designer jacket in a sample of years between 2000 and 2015. The least squares regression line modeling this data is given by yˆ=−4815+3.765x. A scatterplot has a horizontal axis labeled Year from 2005 to 2015 in increments of 5 and a vertical axis labeled Price ($) from 2660 to 2780 in increments of 20. The following points are plotted: (2003, 2736); (2004, 2715); (2007, 2675); (2009, 2719); (2013, 270). All coordinates are approximate. Interpret the slope of the least squares regression line. Select the correct answer below: 1.The average cost of a designer jacket decreased by $3.765 each year between 2000 and 2015. 2.The average cost of a designer jacket increased by $3.765 each year between 2000 and 2015. 3.The average cost of a designer jacket decreased by $4815 each year between 2000 and 2015. 4. The average cost of a designer jacket increased by $4815 each year between 2000 and…
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The line of best fit through a set of data is ý = 14.714 – 3.985x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 180? Round to 1 decimal place.
The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Grades on Midterm and Final Exams Grades on Midterm 78 63 85 92 82 89 69 89 83 61 Grades on Final 77 75 88 92 86 86 80 85 77 63
Before using these mean squares what does we must calculate?
Suppose that a regression yields the following sum of squares: Σ(yi−y¯)^2 = 400, Σ(yi−y^i)^2 = 60, Σ(y^i−y¯)^2 = 340 Then the percentage of the variation in y that is explained by the variation in x is: Answer = %
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This question had 6 parts and I was ask to resend the last 3. the question is The line of best fit for a data set is y= 1.1x+3.4. Find the residual for each of the coordinate pairs (x,y).

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Illustration 12,5. Fit a straight line trend to the data given here by the method of least squares: Year 1959 1960 1961 1962 · 1963 1964 1965 Gross exfactory Value of output (Rş crore) 672 824 968 1205 1464 1758. 2058