# Correlation and Regression Final Exam

**Topics:**Scatter plot, Polynomial, Elementary mathematics

**Pages:**3 (430 words)

**Published:**June 21, 2013

Problem 1.

a. Explain which variable you chose as the explanatory variable and discuss why. * The explanatory variable is the height. This is because I am assuming that as height increases, the weight will increase as well. So the weight is the dependent variable

b. Produce a scatter plot and insert the result here.

* Scatter plot

c. Find the equation of the regression line, Write it in the form of y=a+bx, where a is the y-intercept and b is the slope. * Y=-84.2941 + 0.79941x

d. Add the regression line to the graph and insert the result here * Regression line

e. Calculate the correlation coefficient

* R= 0.9551913

Problem 2.

a. Explain which variable you chose as the explanatory variable and discuss why. - The explanatory variable is games won, because that was stated in the problem. I guess this is because if more games are won, then more balls are hit.

b. Produce an scatter plot and insert the result here.

-scatter plot

c. Find the equation of the regression line. Write it in the form of y=a+bx, where a is the y-intercept and b is the slope. - y = 0.2485320 + 0.0003213x

d. Add the regression line to the graph and insert the result here. - regression line

e. Calculate the correlation coefficient

* r= 0.5587557

Problem 5

a. Explain which variable you chose as the explanatory variable and discuss why. - The first grade is the explanatory variable because the expectation is that that score will predict what the final score.

b. Produce a scatter plot and insert the result here

- scatter plot

c. Find the equation of the regression line. Write it in the form of y=a+bx, where a is the y-intercept and b is the slope. * y = 94.287 – 0.314x

d. Add the regression line to the graph and insert the result here - Regression line

e. Calculate the correlation coefficient.

- r= -0.7074696

Problem...

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