The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Fi the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-val if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x= 5 wins (b) x= 10 wins (c) x = 19 wins (d) x= 15 wins Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is y =-0.20 x+ 6.58 (Round to two decimal places as needed.)

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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.