collect data in this all-zero range, you can't trust the value of the constant. This 2,500 represents 50 of the annual income of those who make 5,000 per year; the percentage of the total income is even higher for those who make less than 5,000 per year. If your fitted line doesnt naturally go through the origin, your regression coefficients and predictions will be biased if don't include the constant. Recently, and many of its findings are presented as bar graphs like the one shown in this image: This particular bar graph shows how much money is spent on transportation for people in different household-income groups. It seems like you've decided you want to use a boxplot and are trying to find a way to use one.
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The categories for household income as shown arent equivalent. For example, the rule may be Any data lying exactly on a boundary value automatically goes into the bar to its immediate right. The Bureau of Transportation Statistics (did you know such a department existed?) conducted a study on transportation in the.S. Below, Ive changed the scale of the y-axis on that fitted line plot, but the regression results are the same as before. In the output below, you can see that there is no constant, just a coefficient for height.
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