Create a scatter plot of the data. Make sure to label the axes of the graph and

Create a scatter plot of the data. Make sure to label the axes of the graph and create a consistent scale. Make sure to give your scatterplot a title. You can do this by using Excel.

Using only the graph, write a paragraph that addresses the following questions:

a. Does there appear to be a linear relationship between x and y? How can you tell?

b. Does the relationship appear to be positive or negative? How can you tell?

c. Does the relationship appear to be strong or weak? How can you tell?

Part 2

Calculate the correlation coefficient, r and the coefficient of determination, r2.

Write a paragraph that addresses the following questions:

a. What is the value of the correlation coefficient?

b. Does the correlation coefficient confirm the strength (weak or strong) and direction (positive or negative) you from your scatterplot in Part 1? Describe how you know.

c. Interpret the meaning of the coefficient of determination, r2, within the context of your data.

Part 3

Determine the equation of the regression line, y=b0+b1x. You learned how to use the TI-Graphing calculator to do this in Hawkes.

a. What value is the slope (b1) of the linear regression line? Describe what the slope means within the context of your data set.

b. What is the value of the y-intercept (b0)? Describe what this value means within the context of your data set.

c. Describe how you could use the equation of the linear regression line to predict values not included in the data set. Then pick an x-value outside your given data set and use the equation to calculate the predicted y-value. You can choose any x-value you want as long as it is not included in the given data set.

THERE IS DATA IN THE WORD DOC LABLED ARM PAN VS HEIGHT, which should be used for this project. So in total, there should be 1 page that answers all the questions in parts 1, 2, and 3, maybe one and a half pages. There should be an Excel doc as well for the data, graph, etc.