An aerobic exercise instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. (A graphing calculator is recommended.) Age (x years) 20 40 60 Maximum heart rate (y beats per minute) 168 151 134 (a) Find the linear correlation coefficient for the data. (Round your answer to two decimal places.) (b) What is the significance of the value found in part (a)? O The slope of the regression is about half of what the expected value is. O One of the data points is the y-intercept. O The graph of the regression points passes through all three data points. O The linear correlation coefficient should always be positive. O The graph of the regression points passes through none of the data points. (c) Find the equation of the least-squares regression line. (Round your answers to two decimal places.) (d) Use the equation of the least-squares line from part (c) to predict the maximum exercise heart rate for a person who is 69. (Round your answer to the nearest whole number.) beats per minute (e) Is the procedure in part (d) an example of interpolation or extrapolation? O interpolation O extrapolation

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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.