Cost and area data Cost 1 Cult 1 E1 Square Foot Number of Square Feet Square Feet Number of Square Feet 17.60? 0.00016672 16.012 0.00017454 17.039 000036161 16.715 000026536 16.604 0.00001524 16.691 000046312 17.243 0.00021664 17.466 000036092 15.026 000005343 16.623 000006594 17.463 0.00034413 15.602 000036679 11664 000045339 16.04? 0.00032066 17.251 0.00046535 16.672 000025049 15.709 0.00033613 17.306 0.00023064 16.325 0.00021669 16.119 000043335 16.026 000032436 16.546 0.00003574 16.631 0.00016271 15.575 000001395 16.066 000024643 16.093 000026665 19.635 0.00030615 19.612 000036762 16.734 0.00033305 16.366 000012264 16.036 0.00026573 16.529 00001523? 11014 000012669 17.742 0.0004264? 16.216 000006706 16.664 000046579 11633 0.00031263 17.436 000030663 11646 000026762 17.666 000021261 17.136 000025549 17.095 000037595 113-44 000033611 17.611 0.00024254 16.131 000002456 17.626 000034191 16.076 0.00013379 16.651 000036455 16.963 0.00032742 15.99? 000015323 Homework: HW CH22 Question 4, 22.1.42-T HW Score: 27.97%, 2.52 of 9 points Part 1 of 5 Points: 0.67 of 1 Save The data table available below gives the annual cost per square foot of 50 commercial leases for office space in a city and the reciprocal of the number of square feet. Use the cost per square foot as the response variable and the reciprocal of the number of square feet as the explanatory variable to complete parts (a) through (c)- Click the icon to view the data table. (a) How many leases lie outside the 95% prediction intervals for leases of their size? Does the location of these data indicate a problem with the fitted model? (Hint: Are all of these residuals on the same side, positive or negative, of the regression?) There are leases that lie outside the 95% prediction intervals. (Type a whole number.)