Question: module 5 dq 1 argument Deliah
The Pearson product-moment correlation coefficient is a measure of the strength of the linear relationship between two variables. It is referred to as Pearson's correlation or simply as the correlation coefficient. If the relationship between the variables is not linear, then the correlation coefficient does not adequately represent the strength of the relationship between the variables (Lane, n.d.). The Pearson Correlation Coefficient should be measured for strength and significance and since there is no significance, one can conclude that the bivariate data has no linear relationship. However, the researcher should create a scatterplot of all of the data to determine whether there is a correlation. Pressman (2016) posits there are a number of different ways to evaluate correlations. Graphing a scatterplot of the data is one way to visually analyze and interpret the data. Last, although the sample is large, one cannot generalize it, because it encompasses only graduate students in one graduate program in an Ivy League university. Second, due to the fact there student body is disproportionately White, a large group of minority students would be left out.