The numbers of insured commercial banks y (in thousands) in theunited states for the years 1987 to 1996 are shown in the table beloL(Source: Federal Deposit Insurance Corporation)Year198719881989199019911992199419951996Number 13.70(1000's)13.1212.7112.3411.9212.2712.5112.6812.9928a) What regression model would fit this data (1linear, quadratic, cubic)?Explain.b) Use technology to determine the regression equation for this data.Round your values to the nearest thousandth.c) What is the independent variable in this problem? What is thedependent variable? Explain.d) Use your regression equation to predict the number of insuredcommercial banks in the US in the year 2015.e) Was the process you used in question (d) above consideredInterpolation or extrapolation? Explain.f) Use your regression equation to predict the calendar year in whichyou would expect there to be 50,000 insured commercial banks.

a) Taking x as input variable and y as output variable. As we can see that, the values of y is…

The numbers of insured commercial banks y (in thousands) in the united states for the years 1987 to 1996 are shown in the table belo (Source: Federal Deposit Insurance Corporation) 1987 Number 13.70 (1000's) Year 1988 1989 1990 1991 1992 1994 1995 1996 12.99 13.12 12.71 12.34 11.92 12.27 12.51 12.68 a) What regression model would fit this data (linear, quadratic, cubic)= Explain.

The numbers of insured commercial banks y (in thousands) in the united states for the years 1987 to 1996 are shown in the table belo (Source: Federal Deposit Insurance Corporation) 1987 Number 13.70 (1000's) Year 1988 1989 1990 1991 1992 1994 1995 1996 12.99 13.12 12.71 12.34 11.92 12.27 12.51 12.68 a) What regression model would fit this data (linear, quadratic, cubic)= Explain.

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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