Include two sets of data in each one so that we can find the Linear Regression Equation and discuss if the two variables may be correlated to each other.

Step 1: Choose one of the following pairs of data sets. Click the randomization button a few times to get your sample. Numbers in the data sets below have been adjusted to be easier to work with. Populations are all in millions (i.e. divided by 1,000,000 so if you see 4.98 it is really 4,980,000). Some of the other data is also reduced in a similar fashion for ease of working with the data for this discussion.

1) Aneurysm COD 2018: https://www.desmos.com/calculator/j0tjnzrhz8(Links to an external site.)

2) Adult Asthma Prevalence 2018: https://www.desmos.com/calculator/t3mdnvm67j(Links to an external site.)

3) Colon Cancer New Cases 2017: https://www.desmos.com/calculator/izz6tdfbuq(Links to an external site.)

4) Drug Poisoning Mortality by State for 2018: https://www.desmos.com/calculator/h2zbayq37z(Links to an external site.) 5) Leukemias Cancer for 2017: https://www.desmos.com/calculator/qviwjpcxpe(Links to an external site.)

Step 2: Provide the title and link to your personalized set of randomized values.

Step 3: What is the correlation coefficient (rounded to 2 decimal places), what does it tell you about your data in terms of your medical situation?

Step 4: Provide the regression equation for your classmate (y=mx+b), be sure to fill in m & b (rounded to 2 decimals), then ask them to predict the dependent variable value for a given value of the independent variable.

(Example: How many COD by Aneurysm are there if the population of the state is 6.64 million?)

please don't use paper to solve this, I had a hard time reading the explanation last time I needed help.