The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 50 inches. Is the result clos to the actual weight of 407 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 49 51 53 61 57 45 368 382 420 481 457 287 What is the regression equation? y=+x (Round to one decimal place as needed.)

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The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the
independent (x) variable. Then find the best predicted weight of a bear with a chest size of 50 inches. Is the result close
to the actual weight of 407 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
Click the icon to view the critical values of the Pearson correlation coefficient r.
49
51
53
61
57 45
368 382 420 481 457 287
What is the regression equation?
ŷ=0
+ x (Round to one decimal place as needed.)
Transcribed Image Text:The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 50 inches. Is the result close to the actual weight of 407 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 49 51 53 61 57 45 368 382 420 481 457 287 What is the regression equation? ŷ=0 + x (Round to one decimal place as needed.)
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