please see attached - thank you in advance predicted weight of a seal if the overhead width measured from a photograph is 2.2 cm. CarCritical Values of the Pearson Correlation Coefficient r0.4020.0000.4680.4560.4440.3960.5900.5750.5610.5050.4630.4300.4020.37818192025303540455060700.3610.3350.3120.2940.2790.2540.2360.2200.2070.1960.3610.3300.3050.2860.2690.2568090100Ina= 0.05a= 0.01 Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.2 cm. Can the prediction be correct? Whwrong with predicting the weight in this case? Use a significance level of 0.05Overhead Width (cm)Weight (kg)8.32037.49.89.78.27.9Critical Values of the Pearson Correlation Coefficient r192295264219212Click the icon to view the critical values of the Pearson correlation coefficient r.a= 0.050.95010.878INOTE: To test H: p = 0against H,: p# 0, reject H,if the absolute value of r isgreater than the criticalIvalue in the table.na= 0.01The regression equation is y =O+x.1415160.9900.959(Round to one decimal place as needed.)0.8110.7540.7070.6660.6320.6020.5760.5530.9170.875819101112130.8340.7980.7650.7350.7080.6840.6610.6410.623|0.606to con140.532Enter your answer in the edit fields and then click Check Answer.1516170.5140.4970.482to scopartsremainingiswerLoico

Answered: Image /qna-images/answer/334038b0-696c-488d-aa2e-e8ec23753da2.jpg

Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.2 cm. Can the prediction be correct? wrong with predicting the weight in this case? Use a significance level of 0.05. 9.7 8.3 203 Overhead Width (cm) 7.4 9.8 8.2 7.9 295 219 1 Critical Values of the Pearson Correlation Coefficient r Weight (kg) 192 264 212 A Click the icon to view the critical values of the Pearson correlation coefficient r. a= 0.05 NOTE: To test Ho: p = 0 |against H,: p# 0, reject H, lif the absolute value of r is greater than the critical ]value in the table. In a= 0.01 The regression equation is y =O+Dx. (Round to one decimal place as needed.) 4 5 0.990 0.959 0.950 0.878 0.811 0.754 0.707 |0.666 0.632 6 17 0.917 0.875 0.834 0.798 0.765 9 10

Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.2 cm. Can the prediction be correct? wrong with predicting the weight in this case? Use a significance level of 0.05. 9.7 8.3 203 Overhead Width (cm) 7.4 9.8 8.2 7.9 295 219 1 Critical Values of the Pearson Correlation Coefficient r Weight (kg) 192 264 212 A Click the icon to view the critical values of the Pearson correlation coefficient r. a= 0.05 NOTE: To test Ho: p = 0 |against H,: p# 0, reject H, lif the absolute value of r is greater than the critical ]value in the table. In a= 0.01 The regression equation is y =O+Dx. (Round to one decimal place as needed.) 4 5 0.990 0.959 0.950 0.878 0.811 0.754 0.707 |0.666 0.632 6 17 0.917 0.875 0.834 0.798 0.765 9 10

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 4SGR

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Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05.
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.1 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 7.2 7.1 9.9 7.5 8.4 9.8 Weight (kg) 136 161 275 147 207 272 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0, reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532…
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05.
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