The goal of this culminating statistics project is to identify the factors that might have some influence on a chosen topic/variable.You will be collecting and analysing 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 make 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 10 different places in the same year.

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.

For example:If you found the years 1990 to 2010 for your dependent variable, you will need to find those same years for each of your independent variables.If you had data across the provinces and territories for your independent variable for 2016, you will need data across the provinces and territories for 2016 for each of your independent variables.

After you find your dependent variable with as many data points as possible, search for the potential factors that may have a relationship with it.Consider a few steps ahead:What type of correlation would it be, if a strong correlation is determined?Would the correlationbe accidental?If so, this may not be a good choice as an independent variable.If there is no correlation, is that an interesting conclusion?If so, then it is likely a good choice for an independent variable.