Statistics Project Description

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 which data 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 2 factors 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.

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.

2. Independent variables: Choose the independent variables that you want to measure against the dependent variable. You will find 2 different variables for which you can create 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.

3. One variable measures with graphs and distributions: Describe each of the 3 of your variables (two independent and one dependent) by calculating and making reference to the measures of central tendency, spread, and creating a histogram and box plots. Describe the distribution of your data as well. For each of the variables, describe the meaning of each of the measures as you state what they are.

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

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