Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set.

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Fifty Four Wild Bears Were Anesthetized And Then Their Weights And Chest Sizes Were Measured And Listed In A Data Set 1 (103.17 KiB) Viewed 49 times

Fifty Four Wild Bears Were Anesthetized And Then Their Weights And Chest Sizes Were Measured And Listed In A Data Set 2 (85.52 KiB) Viewed 49 times

Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.971505 a measured chest size can be used to predict the weight? Use a significance level of ax=0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. Ho: P ▼ H₁: P V (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r= (Round to three decimal places as needed.). Identify the critical value(s). (Round to three decimal places as needed.) OA. There are two critical values at r= t OB. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Choose the correct answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) OA. No, because the absolute value of the test statistic exceeds the critical value. falls between the critical values. OB. No, because the test statistic OC. Yes, because the test statistic falls between the critical values. O D. Yes, because the absolute value of the test statistic exceeds the critical value. O E. The answer cannot be determined from the given information.
Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.05. Internet Users 76.4 37.5 D 78.4 5.5 79.2 9.2 66.6 1.7 Award Winners 3.4 10.9 0.1 Construct a scatterplot. Choose the correct graph below. OA O C. OD. 30 90 Internet Users The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho p H₂: P T (Type integers or decimals Do not round.) The test statistic is :- (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is Award Winners B. su premy Internet Users 90 greater than less than or equal to the significance level, there Award Winners ROO 90 SUBVIMA DJEMY 12- OM Internet Users Internet Users sufficient evidence to support the claim that there is a linear correlation between Internet users and scientific award winners.