For this discussion post, we are going to create a linear regression model from a set of data. Suppose we get a job working for a company that provides their employees with company stock every year they work with the company. The amount of stock earned may be based on a few other variables, but all we are looking at right now is time served with the company. Here is the data we collected:

Years With Company	Company Stock (Thousands of $)
11	51
14	64
9	41
8	40
14	61
12	54
3	21
7	31
8	39
10	51
7	27

Use the following link to graph your data and create a regression model. The equation of your model will be at the bottom of the page, where it says "Equation."https://www.graphpad.com/quickcalcs/linear1/Links to an external site.

Supporting Resources:https://www.youtube.com/watch?v=zPG4NjIkCjcLinks to an external site.

Discussion Prompts

Answer the following questions in your initial post:

1. Does the data look approximately linear? Or does there appear to be some sort of non-linear trend in our data?
2. What is the regression model created from our data set?
3. What does the slope represent in our regression model?
4. If an employee has been with the company for 13 years, how much company stock would we expect them to have?
5. In the problem, it was mentioned there are other variables that could impact the amount of company stock awarded to an employee. What are some other variables we may want to collect next time to add to our model?