Mathematics, 21.11.2019 00:31 myelee123
Use least-squares regression to fit a straight line to: x = 0, 2, 4, 6, 9, 11, 12, 15, 17, 19 y = 5, 6, 7, 6, 9, 8, 8, 10, 12, 12 along with the slope and intercept of the straight line, compute the sum of the squares of the residuals, the standard error of the estimate, and the correlation coefficient. plot the data and the regression line. then, for a given value of x (which may not be among the samples), predict the value of y using the linear regression.
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Mathematics, 21.06.2019 22:00
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$5400 is? invested, part of it at 11? % and part of it at 8? %. for a certain? year, the total yield is ? $522.00. how much was invested at each? rate?
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Use least-squares regression to fit a straight line to: x = 0, 2, 4, 6, 9, 11, 12, 15, 17, 19 y = 5...
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