Answer:
b. estimate or predict the value of the dependent variable for a given independent variable
Step-by-step explanation:
In statistics linear regression is a mathematical model used to approximate the dependency relationship between a dependent variable [tex]Y[/tex], and one or more independent variables [tex](X_1,X_2,...X_i)[/tex], and a random term [tex]\varepsilon[/tex]. In the simplest case, with a single explicit variable, this is simply a straight line:
[tex]Y=\beta_o + \beta_1 X[/tex]
Where [tex]\beta_o[/tex] and [tex]\beta_1[/tex] are parameters that define the position and inclination of the line.
