identify the factors that might have some influence on a chosen topic/variable.You will be collecting and analyzing data for three different variables using a secondary source.There will be one dependent variable and two independent variables for whichdata will be needed.For example, what are the factors that affect climate change?If climate change was your dependent variable, what could you pick for your independent variable? You will choose 2factors that will create models that you can compare, to see if you can find a high correlation.Your final report and summary presentation will include the following sections.

Section 1

Dependent variable:Choose the main variable that you want to measure versus other variables.This will go on the vertical axis of your scatter plot.Provide rationale for why you chose this variable and brainstorm different variables that may impact it.Research the variable on the internet and collect data for at least 10 years (the more the better) or over at least 10different placesin the same year.

Section 2

Independent variables:Choose the independent variablesthat you want to measure against the dependent variable.You will find 2different variables for which you can make a line of best fit with to test correlation.This will be your biggest challenge of the assignment.You need to find variables such that they overlap with the data that you chose for your dependent variable.

Section 3

One variable measureswith graphs and distributions:Describe each of the 3of your variables (twoindependent and one dependent)by calculating and making reference tothe measures ofcentral tendency,spread, and creating a histogram and box plots.Describe thedistributionof your data as well.For each of the variables, describe the meaning of each of the measures as you state what they are.

Section 4

Two variable measures with linear models and correlations:Create 2scatterplots, one for each of your independent variables.Make a linear model to describe the relationship. Describe the strength of the correlation and the meaning of the slopes and y-intercepts.

Section 5

Identify and remove relevant points:Identify one point on each scatter plot that has the greatest impact on the model by using residual plots. Describe the impact of the point by comparing the new linear model to the original.

Section 6

Classification of correlation type:For each of the models, classify the correlation type as cause and effect, reverse cause and effect, accidental or common cause. Explainyour choice and brainstormpossible common cause factors where applicable.

Section 7

Conclusions from linear models:Make conclusions from the two variable analyses taking into consideration the removal of points that are far from the line of best fit.Discuss the overall impact, if any,that the independent variables have on the dependent variable by referring to other sections of the report.