Choose one of the following two prompts to respond to. In your twofollow up posts, respond at least once to each prompt option. Use thediscussion topic as a place to ask questions, speculate about answers,and share insights. Be sure to embed and cite your references for anysupporting images.
Perform the following analysis by analyzing a possible linear relation between two variables.
Option 1:
Using the data setprovided from the NOAA for Manchester, NH, select any month betweenJanuary 1930 and December 1958. Use the variables “MMXT” and “MMNT” foryour analysis. Begin with your chosen month and analyze the next 61 datavalues (i.e. 5 years and 1 month) to determine if a relationship existsbetween the minimum temperature (MMNT) and the maximum temperature(MMXT).
Using Excel, StatCrunch, etc. create a scatter plot for your sample. Determine thelinear regression equation and correlation coefficient. Embed this scatter plot in yourinitial post.
For your responses to your classmates (two responses required):Discuss the relationships between the scatter plot, the correlationcoefficient, and the linear regression equation for the sample. Commenton the similarities and differences between your correlation and linearregression equation and that of your classmates. Why are theredifferences since you are drawing from the same population? Did youexpect the differences will be large? Why or why not?
Option 2:
Write a mathematical scenario to describe each of the scatter plots.
Answer prompts made by fellow students with the following information:
Discuss an alternative scenario to represent the data in the scatterplots. In this scenario, assume there is correlation but where it wouldbe inappropriate to conclude causation.
