a = .05 a = .01 .950 .990 .878 .959 6 .811 .917 7 .754 .875 8. .707 .834 .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 17 .482 .606 18 .468 .590...

Extracted text: a = .05 a = .01 .950 .990 .878 .959 6 .811 .917 7 .754 .875 8. .707 .834 .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 17 .482 .606 18 .468 .590 19 .456 .575 20 .444 .561 25 .396 .505 30 .361 .463


Extracted text: A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05. Correlation matrix: Variables Paper Glass Раper 10.4073 Click here to view a table of critical values for the correlation coefficient. Glass 0.4073 1 Но Р (Type integers or decimals. Do not round.) Identify the test statistic, r. (Round to three decimal places as needed.) r= Identify the critical value(s). (Round to three decimal places as needed.) A. There are two critical values at r = ± B. There is one critical value at r = State the conclusion. Because the absolute value of the test statistic is the positive critical value, there is sufficient evidence to support the claim that there is a linear correlation between the weights of discarded paper and glass for a significance level of a = 0.05.