The correct answer is: A. independent variable
An independent variable is a variable that is changed by the experimenter to see how it affects the dependent variable. In regression analysis, the independent variable is the variable that is plotted on the x-axis, and the dependent variable is the variable that is plotted on the y-axis.
The significance of an independent variable is determined by the p-value. The p-value is the probability of obtaining the results that were observed if the null hypothesis were true. A low p-value indicates that the results are statistically significant, and that the independent variable is likely to have a real effect on the dependent variable.
The significance of a dependent variable is not typically considered in regression analysis. This is because the dependent variable is the variable that is being measured, and it is not being changed by the experimenter.
C. significance plotting and D. insignificance plotting are not evaluation criteria in regression analysis.