Activity 4

In this lecture we were taught how to get the measure of central tendency.. From a data set the mean of that data set would be the average value from the data set or the center of zero deviation. It means that subtracting each data from the data set to the mean and summing them all up you should get 0. The mode would be the "most frequent" data value. But mode can be more than one in a data set. so it is also defined as that data value that are at least as frequent as the other data value provided that not all data values are equally frequent.
The median is the "middle most" value. But for data sets that have even no., the median cannot be simply pointed out from the data set. And so, it was defined to be that data value such that at most 50% of the data is less than its least 50% of data is greater than or equal to it.
To get the coordinates (x,y) of the centroid which is the center  point of your scatter plot, the x coordinate would be the sum of all x coordinates of the all the data divided by the number of x. Same is for the y coordinate.
To get the best fit line, draw a line from the centroid to the origin and it will be represented by the linear equation y= mx + 0. The slope of the best fit line can also be found by getting the anything from these: ratio of medians, median of ratio, ratio of arithmetic mean, arithmetic mean of ratio, or regression through origin least square. All can give the exact value of the slope except for the ratio of arithmetic mean that can give a slight deviation from the actual value of the slope.