1. Data was gathered from several homes for sale in Akron, Ohio, in order to examine the relationship between the size of the house (measured in square feet) and the price of the house (measured in dollars). Suppose you learn the relationship between size and price is linear, strong, and positive, with r = 0.83. You also learn that a regression equation has been constructed in order to predict house price based on house size. Based on this information, which one of the following statements is correct?

1. Because the correlation is strong, we should conclude that house size causes a house to have a particular price.
2. The units for r would be "square feet per dollar."
3. The explanatory variable is the house price and the response variable is house size.
4. The variable "house size" should go on the x-axis when we construct a scatterplot.
5. It's impossible to know, without more information, if the slope in the regression equation will be positive or negative.