Explain how to predict y-values using the equation of a regression line. A. Substitute a value of y into the equation of a regression line and solve for x. B. Use the graph of the regression line to determine the x-value that corresponds to the y-value for which you are solving. C. Substitute a value of x into the equation of a regression line and solve for y^.D. Substitute the correlation coefficient into the equation and solve for y^

C. Substitute a value of x into the equation of a regression line and solve for y

Step-by-step explanation: To predict y values using equation of the regression line, a given value of x is substituted into the equation as there are only two unknowns in the whole regression equation, which are the x value ( independent variable) and the y value (the dependent or predicted variable).

The regression equation is usually of the form:

y = mx + c (linear regression)

Where y = predicted or dependent variable

m = slope or gradient of the regression line

x = independent variable

c = intercept of the line (where it cross the y-axis)

nope lol

step-by-step explanation: