(2) A transportation engineering study was conducted to determine the proper design of bike lanes. Data were gathered on bike-lane widths and average distance between bikes and passing cars. The data from 9 streets are Distance [m] Lane Width [m2.9 2.1 2.3 2. .8 2.7 1.5 2.9 1.5 1. Plot the data. 2. Fit a straight line to the data with linear regression. Use MATLAB function linregr 2.4 1.5 2.4 1.8 .82.91.231.2 and compare your result with MATLAB polyfit function. Report the coefficient of determination r2 as a measure of accuracy of the fit. Add the regression line to the plot from part (a) and check if the fit is reasonable. 3. If the minimum safe average distance between bikes and passing cars is considered to be 1.8[m], determine the corresponding minimum lane width (2) A transportation engineering study was conducted to determine the proper design of bike lanes. Data were gathered on bike-lane widths and average distance between bikes and passing cars. The data from 9 streets are Distance [m] Lane Width [m2.9 2.1 2.3 2. .8 2.7 1.5 2.9 1.5 1. Plot the data. 2. Fit a straight line to the data with linear regression. Use MATLAB function linregr 2.4 1.5 2.4 1.8 .82.91.231.2 and compare your result with MATLAB polyfit function. Report the coefficient of determination r2 as a measure of accuracy of the fit. Add the regression line to the plot from part (a) and check if the fit is reasonable. 3. If the minimum safe average distance between bikes and passing cars is considered to be 1.8[m], determine the corresponding minimum lane width