1. Ten (10) specimens of 90/10 copper-nickel alloys, each with a specific percentage iron content, were tested in a corrosion-wheel setup in salt seawater for 60 days. The iron content varied between 0.48% and 1.96%. The corrosion was measured in weight loss, in milligrams per square decimetre, and varied from 83.7 mg/dm to 124 mg/dm. The sample data yielded the following summations: Iron = 11.32, Corrosion = 1028.9, Iron = 15.618 Corrosion = 107735.09, Iron Corrosion = 1094.071 We wish to predict the amount of corrosion based on the percentage iron content. (a) Identify the dependent variable, y, and the independent variable, x. Note: This will allow you to express the above summations in terms of x and y. (b) Find and interpret the sample correlation coefficient. (c) Find the least-square regression line. (d) Predict the amount of corrosion after 60 days for a 90/10 copper-nickel alloy containing 1.05% iron.