The accompanying dataset contains the listed prices (in thousands of dollars) and the number of square feet for 28 homes in a neighborhood. The data come from a simple random sample. For the SRM to work, we need to formulate the model in terms of cost per square foot. Use the selling price per square foot as y and the reciprocal of the number of square feet as x. (Note: If you keep track of the dimensions for the slope and intercept, you'll see that one represents fixed costs and the other, variable costs.) Complete parts a through e.

Price ($000)	Square feet	Price ($/SqFt)	1/SqFt
175	868	201.61	0.001152
232	1021	227.23	0.000979
229	1164	196.74	0.000859
338	1598	211.51	0.000626
213	888	239.86	0.001126
250	1210	206.61	0.000826
255	1295	196.91	0.000772
265	1360	194.85	0.000735
266	1440	184.72	0.000694
145	610	237.7	0.001638
260	1767	147.14	0.000566
166	642	258.57	0.001557
160	660	242.42	0.001515
383	1963	195.11	0.000509
338	2022	167.16	0.000495
325	2022	160.73	0.000495
422	2038	207.07	0.000491
497	2690	184.76	0.000372
376	2126	176.86	0.00047
381	2163	176.14	0.000462
431	2190	196.8	0.000457
480	2320	206.9	0.000431
433	2420	178.93	0.000413
528	2690	196.28	0.000372
160	609	262.73	0.001641
622	3260	190.8	0.000307
183	753	243.03	0.001328
296	1620	182.72	0.000617

b) Give a 95% confidence interval for the fixed cost (the portion of the cost that does not change with the size of the home) associated with these home prices.

The fixed cost is between $_______ and $_______. (Round to the nearest hundred dollars as needed.)

c) Give a 95% confidence interval for the variable costs (the cost determined by the number of square feet).

The variable costs are from $_______ to $________. (Round to the nearest dollar as needed.)

This problem should be solved using the JMP program (steps included