Given the data points listed below, use the method of general least squares tofind the expressiony = ao + a1x1 + a2X2.Provide the value of ao in the box below. Round to one digit past the decimalpoint.X1X2y2191-112-5-243-7-354-8-395-10-50

The independent variables are x1, x2. The dependent variable is y. We have to find the value of the…

Answered: Given the data points listed below, use…

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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Based on data taken from airline fares and distances One of the flights was 350 miles and its residual was - flown, it is determined that the equation of the least- 105.00. What was the fare for this flight? squares regression line is ŷ = 102.50+ 0.65x, where y is the predicted fare and x is the distance, in miles. $102.50 $435.00 $225.00 $330.00
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The final 2 parts of 5he question is (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to three decimal places. Round your answers for the percentages to one decimal place.) r2 = explained % unexplained % (f) For a neighborhood with x = 30 hundred jobs, how many are predicted to be entry level jobs? (Round your answer to two decimal places.) hundred jobs
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Consider the data points (2, 1), (0, –4) and (−2,−3). Given that the least squares line of best fit is y = x − 2 ,which one of the following is the least squares error? √38 +√6 √6
We use the form ŷ = a + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant a is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes a is referred to as the constant, and sometimes as the intercept. Data from a report showed the following relationship between elevation (in thousands of feet) and average number of frost-free days per year in a state. A Minitab printout provides the following information. Predictor Coef SE Coef T P Constant 315.27 28.31 11.24 0.002 Elevation -31.812 3.511 -8.79 0.003 S = 11.8603 R-Sq = 96.8% Notice that "Elevation" is listed under "Predictor." This means that elevation is the explanatory variable x. Its coefficient is the slope b. "Constant" refers to a in the equation ŷ = a + bx. (a) Use the printout to write the least-squares equation. ŷ = + x (b) For each 1000-foot increase in elevation,…
We use the form ŷ = a + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant a is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes a is referred to as the constant, and sometimes as the intercept. Data from a report showed the following relationship between elevation (in thousands of feet) and average number of frost-free days per year in a state. A Minitab printout provides the following information. Predictor Coef SE Coef T P Constant 316.62 28.31 11.24 0.002 Elevation -30.516 3.511 -8.79 0.003 S = 11.8603 R-Sq = 96.2% The printout gives the value of the coefficient of determination r2. What is the value of r? Be sure to give the correct sign for r based on the sign of b. (Round your answer to four decimal places.) What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares…
Calculate the picture by quadratic interpolation!
Test the following data table to see whether the data are quadratic. x 0 4 16 32 44 y 4 12 16 12 20 Calculate the first-order and second-order differences.
I need the right answer to d, e, and f ASAP, please.

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Given the data points listed below, use the method of general least squares to find the expression y = ao + a1X1 + a2X2. Provide the value of ao in the box below. Round to one digit past the decimal point. X1 X2 y 19 -1 1 2 -5 -24 3 -7 -35 4 -8 -39 5 -10 -50