Kn4567The data show the chest size and weight of several bears. Find the regression equation, letting chest size be theindependent (x) variable. Then find the best predicted weight of a bear with a chest size of 51 inches. Is the resultclose to the actual weight of 362 pounds? Use a significance level of 0.05.8910111213Chest size (inches)Weight (pounds)Click the icon to view the critical values of the Pearson correlation coefficient r.What is the regression equation?ŷ=+x (Round to one decimal place as needed.)What is the best predicted weight of a bear with a chest size of 51 inches?The best predicted weight for a bear with a chest size of 51 inches is pounds.(Round to one decimal place as needed.)Is the result close to the actual weight of 362 pounds?141516171819Critical Values of the Pearson Correlation Coefficient r2025303540455060708090100nOA. This result is not very close to the actual weight of the bear.OB. This result is close to the actual weight of the bear.OC. This result is exactly the same as the actual weight of the bear.OD. This result is very close to the actual weight of the bear.Critical Values of the Pearson Correlation Coefficient rα=0.05α = 0.010.9500.8780.8110.7540.7070.6660.6320.6020.5760.55345 50 43 43 52 52 D352 374 275 314 440 3670.5320.5140.4970.4820.4680.4560.4440.3960.3610.3350.3120.2940.2790.2540.2360.2200.2070.196a=0.05Print0.9900.9590.9170.8750.8340.7980.7650.7350.7080.6840.6610.6410.6230.6060.5900.5750.5610.5050.4630.4300.4020.3780.3610.3300.3050.2860.2690.256α = 0.01DoneNOTE: To test Ho: p=0against H₁: p0, reject Hoif the absolute value of r istgreater than the criticalvalue in the table.- X

The independent variable is Chest size. The dependent variable is Weight. We have to predict the…

Answered: The data show the chest size and weight…

Algebra and Trigonometry (MindTap Course List)

4th Edition

ISBN:9781305071742

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section1.FOM: Focus On Modeling: Fitting Lines To Data

Problem 10P

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