Question: Q 2: Importing Data and Regression (25 points) Import the experimental data from Canvas ( the first column is time, the second column is number
Q 2: Importing Data and Regression (25 points) Import the experimental data from Canvas ( the first column is time, the second column is number of bacteria i.e. the dependent variable) **Note: you should be prepared to do the following regressions linear power exponential nth order polynomial Create a script (file name: exam2p2m ) to: 2.a)Find equations for a best fit curves using, and write down the equations and their R^2 value: linear regression 2nd order polynomial regression 4th order polynomial repression Exponential Regression 2.b) Generate a Plot showing the data points as xs and a curve for each regression method. 2 c) Which trend-line best describes the given data? 
2importing Data and RegressIon (2 pointS) Import the experimental data from Canvas ( the first column is time, the second column is number of bacteria i.e. the dependent variable) **Note: you should be prepared to do the following regressions linear power exponential nth order polynomial Create a script (file name: exam2p2m) to: 2.a)Find equations for a best fit curves using, and write down the equations and their RA2 value: linear regression 2nd order polynomial regression 4th order polynomial repression . Exponential Regression points as x's and a curve for each regression method. 2 c) Which trend-line best describes the given data? 2importing Data and RegressIon (2 pointS) Import the experimental data from Canvas ( the first column is time, the second column is number of bacteria i.e. the dependent variable) **Note: you should be prepared to do the following regressions linear power exponential nth order polynomial Create a script (file name: exam2p2m) to: 2.a)Find equations for a best fit curves using, and write down the equations and their RA2 value: linear regression 2nd order polynomial regression 4th order polynomial repression . Exponential Regression points as x's and a curve for each regression method. 2 c) Which trend-line best describes the given data
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