The data show o 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 53 inches. Is the result close to the actual weight of 565 pounds? Use a significance level of 0.05 Chest size (inches) 44 59 55 403 645 563 587 548 406 59 57 44 O Weight (pounds) E Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 53 inches? The best predicted weight for a bear with a chest size of 53 inches is pounds. (Round to one decimal place as needed.) Is the result close the actual weight of 565 pounds? O A. This result is exactly the same as the actual weight of the bear. O B. This result is very close to the actual weight of the bear. OC. This result is close to the actual weight of the bear. O D. This result is not very close to the actual weight of the bear.

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.