Being able to calculate linearity (or correlation, as it's often referred to) is a very valuable skill. Linearity is a quantitative assessment of how strongly related a set of data is. Linearity ranges from 0 (not related at all) to 1 (completely related) and gives a useful numerical gau...
and then subtracting this value from the sum of the squared data points. For example, given a set of x data points: 3, 5, 7, and 9, you would calculate the Sxx value by first squaring each point and then adding those squares together, which results in 164. Then subtract...
The correlation coefficient, or r, always falls between -1 and 1 and assesses the linear relationship between two sets of data points such as x and y. You can calculate the correlation coefficient by dividing the sample corrected sum, or S, of squares for (x times y) by the square root...
Using the dataset below, please test the hypothesis that the population mean 2 (associated with Sample 2) is greater than or equal to the population mean 1 (associated with Sample 1) with a significan Calculate the median for a sample of data with n = 8 given below. 14, 6, 3, 10,...