The correct answer is A. inverse proportion.
A residual term is the difference between the observed value of a dependent variable and the value predicted by a regression line. A negative slope of a line indicates that there is an inverse relationship between the two variables, meaning that as one variable increases, the other variable decreases.
In the case of a large residual term and a negative slope of a line, this indicates that there is a strong inverse relationship between the two variables, but that the regression line is not a good fit for the data. This could be due to a number of factors, such as outliers or measurement error.
Option B, direct proportion, is incorrect because a direct relationship would mean that as one variable increases, the other variable also increases. Option C, badness proportions, is incorrect because this is not a technical term that is used in statistics. Option D, goodness proportion, is incorrect because this is also not a technical term that is used in statistics.