Instructions to begin your Scatter Plot Assignment:
In this assignment, you will create a Scatter Plot representing data from one of the datasets provided using the instructions below. There are several steps; please ensure you complete all of them in sequential order.
1. Copy the list of data (ctrl c) from the document you have just downloaded.
2. Click here to go to the http://www.alcula.com/calculators/statistics/scatter-plot/
3. Delete any numbers that may appear in the Scatter Plot Generator textbox by clicking ‘Reset’ located at the bottom of the textbox.
4. Paste (ctrl v) the list of data in the text box. The data are formatted correctly, so please do not re-format. Paste the data exactly as you have copied it from the document. Click ‘Submit Data’.
5. Click ‘Scatter Plot’ located immediately above the text box.
5. A Scatter Plot representing the plotted points of the 2 independent variables in your dataset will appear.
6. Save the Scatter Plot image to your computer as a png as follows: Right click on the Scatter Plot image, then click on ‘save image as’ and save to your computer as a png file. DO NOT save as a web page.
In Part 2 of this assignment, you will describe the relationship between the variables in your dataset by interpreting the Scatter Plot that you have created. You will describe this relationship by answering the following questions:
1. Insert the Scatter Plot you have created into your post.
2. Describe the following characteristics of the correlation result as interpreted from the Scatter Plot you just created:
– strength
– direction
3. Is this a Pearson r Scatter Plot or a Spearman Rho Scatter Plot? Justify your answer.
4. Based on your interpretation of the Scatter Plot you have created, formulate a null hypothesis consistent with these results.
5. Are there outliers in this data set? How do you assess for these when interpreting a Scatter Plot?
6. What additional information do you need to determine if this correlation is statistically significant? Does the Scatter Plot provide this information? If the correlation is statistically significant, does that mean you reject or fail to reject H0?
