For questions 1-8: Suppose a stock's value y (in $) was recorded for x months since purchase: L: x L2: y L3= L4= L5 = 01234567 725 700 650 575 450 350 200 Residuals ($) 25 Using your calculator, find r and the LSRL. Round LSRL coefficients to the nearest thousandth. Rounded LSRL: 1. r= 2. Putting the Rounded LSRL into Y on your calculator, program L3 to find the LSRL estimates for each given x value. Write your program in the L3 heading, and record your results in L3. 3. With your LSRL estimates in L3, program L4 to find the residuals for each given x value. Write your program in the L4 heading, and record your results in L4. 4. 5. Plot your residuals in the grid provided above, and describe the "leftover pattern". Leftover pattern: Based on your plot of the residuals, subjectively determine if the LSRL is an appropriate model for the data. EXPLAIN YOUR ANSWER BASED ON THE LEFTOVER PATTERN. 6. 7. Program Ls to calculate the square of the residuals, and record the results in Ls. Write your program in the Ls heading. Using your calculator list results, show the manual calculation of the standard deviation of the residuals.