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 (e.g., provinces and territories across Canada, countries in the world, teams in a sport) in the same year.

Note:Statistics Canada is our most reliable and prolific source of data. Be sure to cite your source in proper MLA or APA format. You may want to revisit your portfolio entry from Unit 5, Lesson 2 for the data that you found from Statistics Canada. You can also revisit the tutorial video in that lesson.

Dependent Variable: Mortality Rate per 1,000 Population

Rationale:

The chosen dependent variable for this study is the mortality rate per 1,000 population. This variable serves as a crucial indicator of the health and well-being of a population. Mortality rates provide insights into the overall state of public health, effectiveness of healthcare systems, and the socio-economic conditions within a given geographical area.

My brainstorming:

Healthcare Access:

I'm thinking about exploring how easy it is for people to get healthcare. This could involve looking at the number of hospitals, the ratio of healthcare professionals, and the availability of advanced medical facilities in different areas.

Socio-Economic Status:

It might be interesting to see how income levels, employment rates, and education levels relate to mortality rates. This way, we can understand if socio-economic conditions have an impact on health outcomes.

Lifestyle Factors:

Lifestyle choices could play a big role. I'm considering variables like smoking rates, obesity levels, and overall fitness in the population. It's worth exploring how these factors connect to mortality rates.

Environmental Conditions:

I'm curious about how the environment affects mortality rates. This could include factors like pollution levels, climate conditions, and whether people have access to clean water and proper sanitation.

Public Health Policies:

Public health policies might also be a key player. We can look at vaccination coverage, disease prevention programs, and public health awareness initiatives to see how they impact mortality rates.

Demographic Characteristics:

Age and gender might have a say in this. Breaking down mortality rates by different age groups and gender could give us a closer look at demographic influences.

Geographical Variances:

Regions might have different mortality rates. I'm thinking of comparing rates across provinces, territories, or even different countries to spot any regional patterns.

Nutritional Habits:

Nutrition could be a factor too. Looking at access to nutritious food, prevalence of malnutrition, and overall dietary habits could give us insights into the role of nutrition in mortality rates.

Healthcare Infrastructure:

Infrastructure matters. Assessing things like the number of hospital beds, availability of medical technology, and emergency response capabilities could tell us how healthcare infrastructure ties into mortality rates.

Prevalence of Chronic Diseases:

Chronic diseases might be contributing. Exploring data related to diseases like heart disease, diabetes, and cancer could help us understand their role in overall mortality rates.

Source citation:

Mortality Rates, by Age Group, Government of Canada, Statistics Canada, 27 Nov. 2023,www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310071001&pickMembers%5B0%5D=1.1&pickMembers%5B1%5D=3.1&cubeTimeFrame.startYear=2013&cubeTimeFrame.endYear=2022&referencePeriods=20130101%2C20220101.

Section 2

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

My two independent variables:

What can be my two independent variables for mortality rates from the link of the stats above, what two other stats can i use from stats canada that are independentr variables to that? please provide the links if found and an explination if possible please.