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. Everything that is underlined needs to be done, and make sure to include the graphs and citation, Thanks! Use this website to find the statistics you wish to use https://www.statcan.gc.ca/en/start

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.

Note:Statistics Canada is our most reliable source for data and one of the best sources to get a wide variety of data.Be sure to cite your source .You may want to revisit your Portfolio entry from Unit 5 Activity 2 for the data that you found from Statistics Canada.You can also revisit the tutorial video in that activity.

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.

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.

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:Make 2scatterplots, one for each of your independent variables.Make the 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 analysis 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.

Section 8

Response to peer feedback:Include the feedback that you received from your classmate as well as the follow up questions.Identify the steps you took to act on the feedback and your responses to the follow up questions.

Section 9

Areas for improvement and recommendations for further exploration:Identify the areas of improvement in your study.If you had more time and resources, what are you still curious about that you may want to pursue further.Identify the possible biases in your investigation and overall how confident you are with your conclusions.

Note:It is perfectly fine to say that the conclusions come with many red flags and should merely be used to begin a discussion on further studies.

Share Your Thoughts

Take a moment to consider what a successful report must look like. Choosetwoof the sections, and comment on how you will know if you have been successful in this section. Refer back to this discussion when self-assessing your report before submitting.

Consider the following questions:

• What counts/matters/is important when writing this section of the report?
• How will you know if it has been communicated with a high degree of understanding? Join The Discussion

Search the internet and Statistics Canada for some potential variables that you will use in your investigation.You will first want to find a good dependent variable that you can get a lot of data for.It should be something you are interested in so that you get the most out of this assignment.

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:Whattypeof 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.

If you are having trouble finding 2variables, you can think about considering a large general variable like the ones on thestatistics for 42 Countries.

You can use thevideofrom Unit 4 Activity 2 to help find variables on Statistics Canada.

Choosing Your Variables

I would recommend using either Google Docs/Word or Sheets/Excel for this project.

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.

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.

Be sure to cite your source .

Title this document - "Statistical Analysis".Please include your collected data in this section of the project.

One Variable Measures with 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.

Two Variable Measures with Linear Models and Correlations

make 2scatterplots, onefor each of your independent variables.make the linear model to describe the relationship. Describe the strength of the correlation and the meaning of the slopes and y-intercepts.

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.

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.

Conclusions From Linear Models

Make conclusions from the two variable analysis 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.

Final steps

1. Identify the areas of improvement in your study. Include feedback from your peers. If you had more time and resources, what are you still curious about that you may want to pursue further?Identify the possible biases in your investigation and overall how confident you are with your conclusions.

Note:It is perfectly fine to say that the conclusions come with many red flags and should merely be used to begin a discussion on further studies.