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 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 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. O There is statisticaly 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.

Please show TI 84 calculator steps if possible.

1. Determine the sample regression line relating infant mortality to female literacy and plot it on a new scattergram with the equation and R2 on the scattergram. 2. State the value of the correlation coefficient and coefficient of determination. 3. Does your data support the hypothesis that 1 <0. 4. Compute a 90% confidence interval estimate for 1. (use excel for regression analysis charts.) |-- Infant Mortality Rate 2021 ||- - || Female Literacy Rate 2021 | -|| 95.92 | 2.5 ||| 14.6 ||| 3.8

You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.01. You have the following bivariate data set. x y 39.3 36.4 52.7 73 50.3 79.8 51.3 71 42 50.8 44.7 74.9 59.2 39.5 54.1 31.6 43.5 90.5 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... 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. Note: Round to three decimal places when necessary.

Four Air Force trainee pilots take a test of visual acuity (higher scores mean better acuity) and an anxiety test (higher scores mean more anxiety. The scores are as follows: Person          Acuity (x)     Anxiety (y) 1                             1                     7     2                            1                      8 3                            2                      4 4                            4                     -1    Calculate critical value , SP the correlation coefficient  and determine whether the correlation is statistically significant  at the .05 significance level, two-tailed

You wish to determine if there is a linear correlation between the two variables at a significance level of α=0.01α=0.01. You have the following bivariate data set. Round to three decimal places. x y 42.5 71 73.7 96 38.5 52.8 42.5 73 40 79.9 62.3 128.8 39.4 106.1 What is the critival value for this hypothesis test?rc.v. = ±± What is the correlation coefficient for this data set?

The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. 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. Should we expect that there would be a correlation? Use a significance level of a = 0.01. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. O A. OB. Best Actor (years) 70- 20- 20 70 Best Actress (years) Best Actor (years) The linear correlation coefficient is r= (Round to three decimal places as needed.) xample Get more help. 70- ||||||||| THHHH 20+ 20 Best Actr 11111 H ||||||||| Qu 70 Q *** Best Actor (years) C. 20+ 20 P +||||| HHHH 70 Best Actresses and Best Actors 29 Best Actress 29 30 29 59 32 32 43 Best Actor 45 37 40 43 49 50 59 48 O D. Best Actor (years) 64 37 70- 20+ 20 D M 23 42 53 55 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.

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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