A researcher examined a sample of rainbow trouttaken from the Spokane River in Washington State,recording their lengths (mm) and weights (grams).For example, one trout was 360 mm long and weighed469 g. Because a scatterplot using length to predict weight showed an exponential relationship, the re-searcher took the log of weight and successfully lin-earized the relationship. Use his regression model log1weight2 = 1.491 + 0.00331length to predict theweight of a 400 mm rainbow trout.A) 2.815 g B) 16.7 g C) 509 gD) 598 g E) 653 g

Please answer parts d, e and f.

Listed below are systolic blood pressure measurements​ (in mm​ Hg) obtained from the same woman. Find the regression​ equation, letting the right arm blood pressure be the predictor​ (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a signicance level of 0.05.  Right Arm  102      101     93     76       77 Left Arm      177      170    147   148      148

The datasetBody.xlsgives the percent of weight made up of body fat for 100 men as well as other variables such as Age, Weight (lb), Height (in), and circumference (cm) measurements for the Neck, Chest, Abdomen, Ankle, Biceps, and Wrist. We are interested in predicting body fat based on abdomen circumference. Find the equation of the regression line relating to body fat and abdomen circumference. Make a scatter-plot with a regression line. What body fat percent does the line predict for a person with an abdomen circumference of 110 cm? One of the men in the study had an abdomen circumference of 92.4 cm and a body fat of 22.5 percent. Find the residual that corresponds to this observation. Bodyfat Abdomen 32.3 115.6 22.5 92.4 22 86 12.3 85.2 20.5 95.6 22.6 100 28.7 103.1 21.3 89.6 29.9 110.3 21.3 100.5 29.9 100.5 20.4 98.9 16.9 90.3 14.7 83.3 10.8 73.7 26.7 94.9 11.3 86.7 18.1 87.5 8.8 82.8 11.8 83.3 11 83.6 14.9 87 31.9 108.5 17.3…