Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 762 515 45 508 42 621 491 480 (a) x = 503 feet (b) x = 641 feet (d) x = 724 feet 51 46 38 36 (c) x = 318 feet Find the regression equation. y = 51 x+ (21 (Round the slope to three decimal places as needed. Round the y-intercept 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.