Direct relation. If iron is used to make steel, and iron is cheaper now, steel will also be cheaper. Decrease in price can mean they have a bunch of it, a surplus. Supply and demand says if you got a lot of something prices go down. So if you have a lot of cheap iron, you can make a lot of cheap steel
Dr. Regan was hired to help retain employees by the Siri corporation without losing money and expectations. He was the one who suggested that employees could decorate their work spaces and this would help employees feel more comfortable where they have to work 8 or more hours per day. This then helped the company by people not calling in and less people quit their jobs. Dr. Regan was most likely an industrial and organizational psychologist. Many companies hires these types of psychologists to help their employees with stress at work and to put employees at ease.
Based on the information provided within the question it can be said that in this scenario the best choice would be a linear regression model. That is because this type of approach deals with seeing to what extent there exists a relationship between two variables. Which in this case would be the quantitative data/prices and the square footage of the home.
