2. Use the data in Chapter 15, Data Set 2, to answer the questions below. Do the analysis manually or by using SPSS. a. Compute the correlation between motivation and GPA. Correlations Motivation GPA Motivation Pearson Correlation 1 .434" Sig. (1-tailed) .008 N 30 30 GPA Pearson Correlation .434" 1 Sig. (1-tailed) .008 N 30 30 **. Correlation is significant at the 0.01 level (1-tailed). b. Test for the significance of the correlation coefficient at the .05 level using a two-tailed test. Correlations Motivation GPA Motivation Pearson Correlation 1 .434 Sig. (2-tailed) .017 N 30 30 GPA Pearson Correlation .434" 1 Sig. (2-tailed) N .017 30 30 *. Correlation is significant at the 0.05 level (2-tailed). c. True or false? The more motivated you are, the more you will study. Which answer did you select, and why?

Is there a typed explanation I can see? I am unable to read the provided answer. :-(

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solve the following two subparts of the questions

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You may need to use the appropriate technology to answer this question. A research group conducted a survey about church attendance. The survey respondents were asked about their church attendance and asked to indicate their age. Church Attendance Yes No 20 to 29 30 to 39 26 74 58 Age 92 40 to 49 89 O Ho: Church attendance is not independent of age. H₂: Church attendance is independent of age. 111 O Ho: Church attendance is mutually exclusive from age. H₂: Church attendance is not mutually exclusive from age. 50 to 59 Use the sample data to determine whether church attendance is independent of age. Use a 0.05 level of significance. State the null and alternative hypotheses. O Ho: Church attendance is not mutually exclusive from age. H₂: Church attendance is mutually exclusive from age. 67 Find the p-value. (Round your answer to four decimal places.) p-value = 83 O Ho: Church attendance is independent of age. H₂: Church attendance is not independent of age. Find the value of the test…