Analysis using linear regression

Analysis using linear regression

1. Instructions

Now that you have run your data, you are ready to review it. Let’s reflect back on your context of being in a leadership role trying to contribute towards broader economic development efforts. During the linear regression phase of your analysis, you notice that the variables:

Skills, knowledge, and abilities
Supply chain industry

Are associated with the variables
Growth
Expansion

https://www.youtube.com/watch?v=mQfacqVvOEM

Answer the questions below in a Word document:

1. You hypothesized that skills, knowledge, and abilities isolated in the supply chain management industry are associated with regional growth and expansion. In fact, the R2 number was .812. To test your hypothesis, you ran a Chi-Square Pearson test, which presented you with a sig of .001. Explain if this relationship is causation or correlation and why.
2. Given that you have been researching how the university plays a role in economic development, the executives from an E-Hospital consult with you to determine how they can contribute as well. How would you guide them to select variables for a regression analysis and neural network?
3. You decide to show them the TensorFlow playground to show them how the neural network will play a role in understanding their data and its impact on the local economy. Navigate to the TensorFlow playground (Links to an external site.). What are the top three things that you will show them on the website? Why did you choose these?