Solution for Explore! on Page 503
Pressing the TRACE key and moving to x = 2, you can observe the Y = f(x, L1) values for the different list values. It appears that the curves make a bigger cubic dip for larger values in list L1.

Solution for Explore! on Page 505
As in Example 1.5, Q = 48,000 when K = 512 and L = 1,000. If L = 2000 and K remains 512, then Q becomes 76,195.25.

Solution for Explore! on Page 542
Once the data is placed into the data editor as below, STAT PLOT (2nd Y=) can be used to set up the graph. The linear regression equation is set up as below.



The command ZOOM 9:ZoomStat will automatically produce the graph shown below. It is clear that the darker least-square regression line approximates the points better than the line in Y2. Can you attempt a better line than the one in Y2?
