Question 12 4 p Solve. A school has just purchased new computer equipment for $15,000.00. The graph shows the depreciation of the equipment over 5 years. The point (0, 15,000) represents the purchase price and the point (5, 0) represents when the equipment will be replaced. Write a linear equation in slope-intercept form that models the value of the equipment, y, x years after purchase. Use the model to predict the value of the equipment after 3 years. 25000 Ly 22500- 20000- 17500- 15000- 12500- 10000- 7500 5000 2500 O y = - 3000x + 15,000; value after 3 years is $6000.00; O y = - 15,000x + 15,000; value after 3 years is $-30,000.00 search 20 OF F3 F4 prt sc home F5 F6 F7 F8 F9 F10 @ # LA & K 2 W 4 5 6 8 O W E R T Y U OShows the depreciation of the equipment over 5 years. TTe POINT (U, 15,JOU) represents the purchase price and the point (5, 0) represents when the equipment will be replaced. Write a linear equation in slope-intercept form that models the value of the equipment, y, x years after purchase. Use the model to predict the value of the equipment after 3 years. 25000 fy 22500+ 20000+ 17500 15000 12500 - 10000+ 7500 - 5000- 2500- 2.5 O y = - 3000x + 15,000; value after 3 years is $6000.00; O y = - 15,000x + 15,000; value after 3 years is $-30,000.00 O y = 15,000x + 5; value after 3 years is $6000.00 O y = 3000x - 15,000; value after 3 years is $6000.00 O O 2 20 0F ~ - 0 0 DII O prtsc home er F3 F4 F5 F6 F7 F8 Fg F10 F11 # tA & K W 4 5 6 7 8 O COQuestion 13 4 pts Use the given data to find the best predicted value of the response variable. The regression equation relating dexterity scores (x) and productivity scores (y) for the employees of a company is y = 5.50 + 1.91x. Ten pairs of data were used to obtain the equation. The same data yield r = 0.986 and y = 56.3. What is the best predicted productivity score for a person whose dexterity score is 35? 56.30 O 72.35 O 194.41 O 58.20 D Question 14 4 pts Use the given data to find the best predicted value of the response variable. 20 OF ~ - 0 DII O- portsc home er F3 F4 F6 F7 F8 F9 F10 F11 # $ & K O W 4 5 6 858.20 Question 14 4 pts Use the given data to find the best predicted value of the response variable. Ten pairs of data yield r = 0.003 and the regression equation y = 2 + 3x. Also, y = 5.0. What is the best predicted value of y for x = 2? O 17.0 O 5.0 0 7.0 O 8.0 D Question 15 4 pts o at 20 OF DII prtsc home F3 F4 F5 F6 F7 F8 F9 F10 F11 LA % V & K W 4 5 6 7 8Question 15 4 pts Is the data point, P, an outlier, an influential point, both, or neither? The regression equation for a set of paired data is y = 60.2 + 1.8x. The values of x run from 100 to 400. A new data point, P(379, 742.4), is added to the set. O Outlier Neither O Both O Influential point D Question 16 4 pts O O 20 OF end DII prtsc home F3 F4 F6 F7 F8 F9 F10 F11 # A K tA & O 3 4 5 6 FInfluential point D Question 16 4.pts Find the value of the linear correlation coefficient r. The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands): Cost | 9 2 3 4 2 5 9 10 Number 85 52 55 68 67 86 83 73 O 0.708 O 0.246 O 0.235 O -0.071 O 0 20F - 0 0 home end DII portsc F3 F5 F6 F10 F11 F4 F7 F8 F9 & K LA 3 5 O 4 EQuestion 17 4 pts Use the given data to find the best predicted value of the response variable. Six pairs of data yield r = 0.444 and the regression equation y = 5x + 2. Also, y = 18.3. What is the best predicted value of y for x - 5? O 93.5 O 27 O 4.22 O 18.3 D Question 18 4 pts Solve. O O 20 OF ~ - 0 0 " ) home end DII prtsc F3 F4 F5 F6 F7 F8 F9 F10 F11 F1 % & K # tA O W 4 5 6 E R TD Question 18 4 pts Solve. The average value of a certain type of automobile was $14,640 in 1995 and depreciated to $7920 in 2000. Let y be the average value of the automobile in the year x, where x = 0 represents 1995. Write a linear equation that models the value of the automobile in terms of the year x. O y = -1344x + 14,640 O y = -1344x + 1200 O y = - - 1 1344 * x - 7920 O y= -1344x + 7920 D Question 19 4 pts Solve 20 OF end portsc home F1 DII CO- F8 FO F10 F11 F7 F3 F4 F5 F6 K % A & tA O 8 9 4 5 6