The table shows the sizes and prices of some homes listed for sale in San Jose, California in 2010. The equation for the least squares line for the data is = 0.367 + 0.163 and ≈ 0.96. Discuss correlation and causation for the data set.

A. There is a strong positive correlation between a home’s size and its price. There is a likely cause- and-effect relationship because it is likely that people will pay more money for a larger home.

B. There is a weak positive correlation between a home’s size and its price. There is a likely cause- and-effect relationship because it is likely that people will pay more money for a larger home.

C. There is a strong positive correlation between a home’s size and its price. There is not a likely cause-and-effect relationship because other factors, such as the number of bedrooms, also affect a home’s price.

D. There is a weak positive correlation between a home’s size and its price. There is not a likely cause-and-effect relationship because other factors, such as the number of bedrooms, also affect a home’s price.