The linear regression equation is perhaps one of the most recognizable in statistics. It can be used to represent any straight line drawn on a plot: Where ŷ (read as “y-hat”) is the expected values of ...

Figure 2: Animated graph showing possible places a line of best fit could be drawn. Credit: Technology Networks. Through the magic of least sums regression, and with a few simple equations, we can ...

When you see a flat line on a graph, it’s tempting to think ... But we come to these charts with some assumptions, and we often don’t read the title and axes very carefully.

Here, we look at how to use data imported into Microsoft Excel to perform a linear regression and how to interpret the results. Linear regression models the relationship between a dependent and ...

The vertical difference can also be called residual. Figure 3:Linear regression graph. From figure 3 the green dots represent the actual data points. The black dots show the vertical (not ...

The vertical difference can also be called residual. Figure 3:Linear regression graph. From figure 3 the green dots represent the actual data points. The black dots show the vertical (not ...

Why? Read the post and find out. For electronics, linear regression has many applications, including interpreting sensor data. You might also use it to generalize a batch of unknown components ...