Pounds 127 120 109 118 143 126 121 128 153 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ? V = 0 H1: ? V + 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. O There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. O There is statistically significant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the regression line is useful.

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you are given the following information about x and y. xi independebt varible            yi dependent varible  4                                                   12 6                                                      3 2                                                       7 4                                                        6     The sample correlation coefficient equals _____.

4 A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAs. The results of the survey are shown below.   Lovers 4 8 3 7 0 6 5 6 GPA 2.7 2.3 3.4 2.4 3.5 2.9 2.7 2.8   Find the correlation coefficient:  r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ r ρ  == 0H1:H1: ? ρ r μ   ≠≠ 0    The p-value is:    (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. There is statistically…

ont Paragraph Styles 4. The given table below shows the respective correlation coefficients between two variables with the corresponding p-values. Assume that the target population is composed of all ADZU employees. Required: a) Write the null hypothesis(Ho) and alternative hypothesis (Ha) for each pair of variables as reflected in the table below. b) Decide whether the null hypothesis can be rejected and then discuss the results (at least 15 words) for each pair of variables. Fasting Blood Sugar Level (FBSL) Systolic Blood Pressure (SBP) 0.85 p-value = 0.03 Body Mass Index (BMI) -0.63 p-value=0.005 Focus W Accessibility: Investigate 17 17 43

You wish to determine if there is a linear correlation between the two variables at a significance level of a = 0.01. You have the following bivariate data set. X y 64.4 45.7 43.9 165.3 63.9 -15.5 65.5 12.6 64 73.9 63 25.9 59.9 34.8 45.1 99.2 What is the critival value for this hypothesis test? rc.v. = What is the correlation coefficient for this data set? r = Your final conclusion is that... O There is insufficient sample evidence to support the claim the there is a correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant correlation between the two variables.

Provide an interpretation for the following SPSS output: A researcher wanted to test the relationship between number of fries eaten per week and number of vegetables eaten per week by the sample. Number of times Number of times eat fries per eat vegetables week per week Number of times eat fries per Pearson Correlation 1 -.067 week Sig. (2-tailed) .005 N 1750 1750 Number of times eat Pearson Correlation -.067 1 vegetables per week Sig. (2-tailed) N .005 1750 1750 **Correlation is significant at the 0.01 level (2-tailed). Edit View Insert Format Tools Table 12pt v Paragraph

A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below.     Correlations   Incarceration Unemployment Incarceration Pearson Correlation 1 .209 Sig. (2-tailed)   .142 N 51 51 Unemployment Pearson Correlation .209 1 Sig. (2-tailed) .142   N 51 51 Using an alpha level of 0.05 and the four steps of the hypothesis testing process, test the research hypotheses that unemployment increases incarceration.         Step 3   Step 4   Based on your decision to step 4 what type of error might you be making?

Subject Extroversion Neuroticism 1 43 49 2 46 53 3 48 67 4 48 57 5 48 56 6 50 48 7 51 60 8 51 41 9 53 51 10 58 47 11 62 41 12 63 51 13 63 30 14 63 28 15 67 55 16 67 47 17 67 39 7. What is the standard error of the correlation coefficient for the association of extroversion and neuroticism in personalities.xls? 8. Carry out a formal t-test for the association between extroversion and neuroticism in personalities.xls. H0: The population correlation coefficient is 0. HA: The population correlation coefficient is not 0. What is the value of the t-statistic corresponding to this test?  (Report the absolute value.  The t-distribution is symmetric, thus it is easier to compare the absolute value of the t-statistic with the positive values in statistical table C). 9. Carry out a formal t-test for the association between extroversion and neuroticism in personalities.xls. H0: The population correlation coefficient is 0. HA: The population correlation coefficient is not 0. What is the critical…

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