Answered 6 The Data Show The Chest Size Andвђ Bartleby In this video, professor curtis uses statcrunch to demonstrate how to find the regression equation and best predicted value for bear chest size (mystatlab id. Here's our problem statement: the data show the chest size and weight of several bears. find the regression equation, letting chest size be the independent (or x) variable. then find the best predicted weight of a bear with a chest size of 48 inches. is the result close to the actual weight of 430 pounds? use a significance level of 5%.
Solved сђрѕ The Data Show The Chest Size And Weight Of Several Chegg 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 51 inches. is the result close to the actual weight of 505 pounds? use a significance level of 0.05. a. what is the regression equation? b. You can use this linear regression calculator to find out the equation of the regression line along with the linear correlation coefficient. it also produces the scatter plot with the line of best fit. enter all known values of x and y into the form below and click the "calculate" button to calculate the linear regression equation. 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 53 inches. is the result close to the actual weight of 595 pounds? use a significance level of 0.05. But a measured bear chest girth (observed value) for a bear that weighed 120 lb. was actually 62.1 in. the residual would be 62.1 – 64.8 = 2.7 in. a negative residual indicates that the model is over predicting. a positive residual indicates that the model is under predicting. in this instance, the model over predicted the chest girth of a.
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