It is what the scientist measures
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Introduction means what are you really trying to out for ur science question
In data analysis, the intercept in a regression model represents the value of the dependent variable when all independent variables are zero. It is significant because it helps to understand the baseline value of the dependent variable. The intercept affects the interpretation of regression models by influencing the starting point of the regression line and the overall shape of the relationship between the variables.
Controls are the things you leave the same when you do an experiment. Variables are the things you affect in an experiment to see if it makes a difference. It depends on the experiment how you would "control" the variable.