A scatterplot is a type of data display that shows the relationship between two numerical variables. Each member of the dataset gets plotted as a point whose x-y coordinates relates to its values for the two …

The correlation coefficient r measures the direction and strength of a linear relationship. Calculating r is pretty complex, so we usually rely on technology for the computations. We focus on understanding …

The main idea is that correlation coefficients are trying to measure how well a linear model can describe the relationship between two variables. For example, let me do some coordinate axes here.

Correlation means there is a relationship or pattern between the values of two variables. A scatterplot displays data about two variables as a set of points in the x y -plane and is a useful tool for …

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The graph shown below describes the change in the average temperature of the world over time. What is the best description of this relationship?

Depending on the data and the patterns, sometimes we can see that pattern in a simple tabular presentation of the data. Other times, it helps to visualize the data in a chart, like a time series, line …

If the datapoints show a curved (or non-linear) trend, it might be better to consider non-linear models, like quadratic or polynomial models, and use those for regression. Usually, if you need to use non …

Scatter plots are a handy tool that allow us examine how two sets of quantitative data are—or aren't—correlated with one another. Learn how to set up a scatter plot, and how to measure the …

Correlation matrices: Instead of plotting individual data points on a scatterplot, you can calculate correlations between multiple pairs of variables and display them in a correlation matrix. This can …