A lap top computer company has determined that the demand for its laptop computer is very much related to the size of the student population in a location. They have identified eight different locations and collected data on student population size and number of computers sold in those locations (see below) in order to predict the demand for computers (in hundreds) on the basis of student population size (in hundreds).

Locations	1	2	3	4	5	6	7	8
Computer demand (in hundreds)	7	10	14	10	13	14	11	16
Student size (in hundreds)	150	169	200	175	185	196	205	223

a) Using the given data, the least-squares regression equation for predicting the demand for computers is (round your responses to two decimal places):

y

=

enter your response here

+

enter your response herex

where

y

= Estimated Dependent Variable and x = Independent Variable.

b) The coefficient of correlation for the least-squares regression model =

enter your response here

(round your response to two decimal places.

For the least-squares model, the standard error of the estimate =

$enter your response here

(round your response to two decimal places).