The purpose of this step is to find out the path loss exponent of an unknown environment. Use any programming language/tools to solve your problem. Describe the outcomes in a report while submitting.

Below is the data from that sheet; the spreadsheet consists of 13 RSSI (signal strength) values from columns B-N in dBm, with different distances in meters (in column A). So, in the same location, the RSSI values are slightly different for different measurements.

- Plot all these points in a graph where the RSSI values are in y-axis (dBm), and the distances are in x-axis (in log scale) - Draw a best fit straight line corresponding to this log-log plot. Find out the slope of this line, divide it by 10 and take the absolute value, which is your path loss exponent. - Also find out the variance of these RSSI samples, w.r.t. the best fit line.

A B C D E F G H I J K L M N 2.091 -42 -41 -43 -42 -44 -38 -41 -41 -41 -43 -37 -39 -38 2.594 -47 -45 -47 -46 -45 -47 -46 -46 -42 -44 -47 -47 -47 2.856 -50 -50 -45 -52 -50 -50 -47 -46 -46 -47 -47 -50 -47 4.721 -59 -60 -60 -59 -62 -63 -58 -57 -58 -58 -60 -61 -62 3.891 -59 -59 -57 -57 -59 -60 -59 -59 -59 -55 -57 -55 -59 5.189 -62 -62 -62 -65 -67 -69 -65 -68 -66 -64 -64 -66 -65 6.562 -67 -68 -64 -66 -65 -68 -72 -72 -70 -71 -74 -72 -67 7.267 -72 -71 -69 -73 -73 -74 -76 -70 -71 -78 -73 -71 -66 9.059 -72 -75 -75 -74 -80 -77 -79 -77 -78 -82 -77 -79 -76 7.336 -71 -70 -69 -73 -73 -74 -76 -70 -71 -78 -73 -71 -72