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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 160 180 30 130 90 190 (a) x = 170 calories (b) x = 100 calories Sodium, y 410 460 350 360 250 510 (c) x = 140 calories (d) x = 200 calories Find the regression equation. y= 2.438 x + (32.125 ) (Round to three decimal places as needed.) Choose the correct graph below. O A. O B. O c. O D. A 660- 560- 560 560- Sodium (mg) Sodium (mg) Sodium (mg) Sodium (mg) 200 0 200 200 0 200 Calories Calories Calories Calories (a) Predict the value of y for x = 170. Choose the correct answer below. O A. 373.820 O B. 520.100 O C. 446.960 O D. not meaningful(b) Predict the value of y for x = 100. Choose the correct answer below. 0 A. 276.300 0 B. 520.100 0 C. 373.820 0 D. not meaningful (c) Predict the value of y for x = 140. Choose the correct answer below. 0 A. 276.300 0 B. 446.960 0 C. 373.820 0 D. not meaningful (d) Predict the value of y for x = 200. Choose the correct answer below. 0 A. 276.300 0 B. 520.100 0 C. 446.960 0 D. not meaningful \f\fFind the probability of z occurring in the indicated region of the standard normal distribution. Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table 1.46 P(0