Use correlation coefficients to determine which of the given sets of data is best fit by its associated regression line and which is fit worst. HINT [See Example 3.] (a) {(-3, -1), (-2, 0), (1, 2)} (b) {(-4, -5), (-2, –3), (–1, 0)} (c) {(0, -7), (1, 1), (-4, –4)} Select the data set with the best fit. о (-3, -1), (-2, 0), (1, 2)} o {(-4, -5), (-2, -3), (-1, 0)} o ((0, -7), (1, 1), (-4, -4)} Select the data set with the worst fit. o {(-3, -1), (-2, 0), (1, 2)} о ((-4, -5), (-2, -3), (-1, 0)} o {(0, -7), (1, 1),(-4, -4)} Is it a perfect fit for any of the data sets? Yes No

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.