Exam 9: Correlation and Regression

Use the following sample data for the next three questions. Assume the sample of paired (x, y) data is a random sample. -Use a significance level of .05 to determine whether there is a significant linear correlation between the two variables.

For the next questions, identify the choice that contains a conclusion with a common correlation error. -Given: There is a significant linear correlation between cordgrass monitored for survival on the left bank of a creek and cordgrass monitored for survival on the right bank of a creek.

Use the following display for the next questions. The display is based on sample annual data relating to the ozone layer monitoring at Halley Station in Antarctica. The dependent variable is the year. The independent variables are as follows: the level of ozone in Dobson units (DU), the global temperature (Temp, in °C ), and the United States chlorofluorocarbon (CFC) gases production (in thousands of metric tons). -Identify the multiple regression equation that expresses the year in terms of ozone level, global temperature, and US production of CFCs.

For the next questions, identify the choice that contains a conclusion with a common correlation error. -Use a significance level of .05 to determine whether there is a significant linear correlation between the two variables.

Use the following sample data to answer the next questions. The paired data consist of the cost of regionally advertising (in thousands of dollars) a certain pharmaceutical drug and the number of new prescriptions written (in thousands). -Find the predicted value of the number of new prescriptions written if $7000 is spent in regional advertising.