Marketing for many colleges and universities always imply that more school will result in greater income.To test this statement, data was collected from 19 individuals who attended and completed various yearsin education including high school and college. That information is included in the table below.Education Income12 3018 5214 5512 3516 4820 15014 5816 5018 6820 12612 4216 5218 7120 12014 4516 4218 7512 4016 50 According to the scatterplot and regression line you just generated, list the predicted income for individuals who obtain a BS, MS, or Ph.D. degree (16, 18, or 20 years of school).

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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.