The average level of sugar consumption by a population was compared with the level of depression within the population for six different countries     Sugar Consumption Depression Rate Korea 150 2.3 United States 300 3.0 France 350 4.4 Germany 375 5.0 Canada 390 5.2 New Zealand 480 5.7   Compute and interpret the correlation coefficient for these data.           Is it reasonable to conclude that increasing sugar consumption leads to higher depression rates?             Do you have any concerns with this study?

You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31   Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient    r =  Find the p-value   p-value =    The p-value is Greater than αα Less than (or equal to) αα   The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho   The conclusion is  There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…

How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4.  a and b 5. None of the above.

A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…

Given the following data (suppose x is the explanatory variable and y is the response variable) :  x y 2 3 4 6 6 8 8 12 10 16   What is the value of the linear correlation coefficient for this set of data? Round to four decimal places.

1. Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Is there sufficient evidence to conclude that there is a linear correlation between right and left arm systolic blood pressure measurements? Right Arm Left Arm 102 101 169 79 146 79 144 94 175 182

A national consumer magazine reported the following correlations. The correlation between car weight and car reliability is - 0.30. . The correlation between car weight and annual maintenance cost is 0.20. Which of the following statements are true? I. Heavier cars tend to be less reliable. II. Heavier cars tend to cost more to maintain. III. Car weight is related more strongly to reliability than to maintenance cost. (A) I only (B) II only (C) III only (D) I and II only (E) I, II, and III