John is a new college graduate working at his first job. After years of living in an apartment he has decided to purchase a home. He has found a...

John is a new college graduate working at his first job. After years of living in an apartment he has decided to purchase a home. He has found a great neighborhood from which he can walk to work. Before buying a home in the area he has decided to collect some data on the homes in this neighborhood. A data set has been compiled that represents a sample of 100 homes in the neighborhood he is considering. The variables included in this data set include:

* Value: the current value of the home as determined by the county tax assessor.

* Size: the size of the home in square feet.

* Year: the year the homes were built.

* Basement: does the home have a basement (y=yes, n=no).

* Fireplace: does the home have a fireplace (y=yes, n=no).

* Type: the structure a single family house or a townhouse. (house or townhouse).

Open this data in JMP. Calculate the regression that predicts Value using the size of the home (