Use least-squares regression to fit a straight line to 29 21 29 14 21 15 7 7 13 0 3 7 11 15 17 21 23 29 29 37 39 Along with the slope and the intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the re- gression line. If someone made an additional measurement of x= 10, y = 10, would you suspect, based on a visual assessment and the standard error, that the measurement was valid or faulty? Justify your conclusion.
Use least-squares regression to fit a straight line to 29 21 29 14 21 15 7 7 13 0 3 7 11 15 17 21 23 29 29 37 39 Along with the slope and the intercept, compute the standard error of the estimate and the correlation coefficient. Plot the data and the re- gression line. If someone made an additional measurement of x= 10, y = 10, would you suspect, based on a visual assessment and the standard error, that the measurement was valid or faulty? Justify your conclusion.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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