How can the standard error of estimate be interpreted? The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in millions) are shown in the table. The equation of the regression line is y = 43.977x+ 19,528.57. Complete parts a and bi4244576955004993795574180158Issues, xProceeds,18,716 29,004 42,559 30,325 67,231 65,155 21,100 12,473 31,455 27,712(a) Find the coefficient of determination and interpret the result.0.256(Round to three decimal places as needed.)How can the coefficient of determination be interpreted?The coefficient of determination is the fraction of the variation in proceeds that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is explained by the variation in issues.O The coefficient of determination is the fraction of the variation in proceeds that can be explained by the variation in issues. The remaining fraction of the variation is unexplained and is due to other factors or to sampling error.(b) Find the standard error of estimate s, and interpret the result.16956.615(Round to three decimal places as needed.)How can the standard error of estimate be interpreted?O The standard error of estimate of the issues for a specific number of proceeds is about s, million dollars.The standard error of estimate of the proceeds for a specific number of issues is about s, million dollars.

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 6PPS

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The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of A the regression line is y = 0.952x+20.570. Find the standard error of estimates, and interpret the result. Money ralsed, x Money spent, y 460.5 434.1 651.5 689.3 Find the standard error of estimate s and interpret the result. (Round to three decimal places as needed.) 738.8 735.3 780.3 755.8 781.2 732.5 1025.3 1011.3 950.6 929.9 1205.2 11554
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