With the progression of knowledge on radio-active materials, we now know that the decay of activity is exponential. With this information, we now know that we should use an exponential least squares regression fit to describe the data as good as possible. • In the cell below, write a program that uses linear least squares regression to fit the given data as an exponential function. Plot your resulting fit together with the given data. Determine the goodness of the fit by calculating the sum of residuals and r?, and compare those to the previous least squares regression that you did. (10 points) Estimate the time it takes to get below 10%, 5% and 1% of the initial number of active cores respectively based on this exponential fit. (10 points)

With the progression of knowledge on radio-active materials, we now know that the decay of activity is exponential. With this information, we now know that we should use an exponential least squares regression fit to describe the data as good as possible. • In the cell below, write a program that uses linear least squares regression to fit the given data as an exponential function. Plot your resulting fit together with the given data. Determine the goodness of the fit by calculating the sum of residuals and r?, and compare those to the previous least squares regression that you did. (10 points) Estimate the time it takes to get below 10%, 5% and 1% of the initial number of active cores respectively based on this exponential fit. (10 points)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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