In qualitative research, "bottom line" refers to the core findings or the essential insights derived from the data, summarizing the main themes or conclusions. In contrast, "top line" highlights the overarching perspectives or key takeaways that can be easily communicated to stakeholders, often focusing on the most significant implications or recommendations. Together, these terms help convey the depth and breadth of qualitative insights in a concise manner.
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an x Axis is the fancy name for the horizontal line on the bottom of a bar graph
It is the base/face of a certain shape, as in a square, it would be the bottom line(the one on/closest to the ground).
The naive, rough and ready method is as follows: Find the mean values of the two variables and mark this "mean point" on the scatter plot. Draw a set of axes through that point. The line of best fit will pass though the "mean point" and will go either from bottom-left to top-right or top-left to bottom-right. There should be approximately as many points above the line as below and these must be approx equally distributed on either side on the "mean" point. A more systematic approach is statistical and entails the calculation of the "least squares equation" using regression.
a line of fit mean perfect line.
the bottom of it