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a. Compute the correlation coefficient. b. Find the coefficient of determination. c. Determine the least squares regression line's equation. d. Predict the weight of someone

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a. Compute the correlation coefficient. b. Find the coefficient of determination. c. Determine the least squares regression line's equation. d. Predict the weight of someone who is 25 years old using the equation you found above. e. Compute the residual weight for someone who is 22 years old f. Interpret the y-intercept and slope of the equation carefully g. What is the outlier? (write as an ordered pair) h. Now find the least squares regression line without the outlier in the data set. AGE WEIGHT 18 119 19 121 20 95 21 125 22 123 23 118 24 120

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