Draw a scatter diagram that would have a linear correlation for r = .92 Draw a scatter diagram with a linear correlation of r = -.3

Using the following information select the appropriate interpretation for the correlation coefficient: Variables being compared are age in years and annual salary. r = -0.15 A. It indicates a weak positive correlation which implies, as age increases annual salary decreases B. It indicates a strong negative correlation which implies, as age increases annual salary decreases C. It indicates a strong positive correlation which implies, as age increases annual salary also increases D. It indicates a weak negative correlation which implies, as age increases annual salary decreases

A manager of a local retail store analyzes the relationship between the number of rainy days and sales by reviewing the store’s data for the previous six months. She computes the correlation between sales and number of rainy days as -0.90. Select ALL that apply.   a. There is a strong positive linear relationship between sales and number of rainy days.   b. As the number of rainy days increases sales decrease.   c. As the number of rainy days increases sales increase.   d. There is a strong negative linear relationship between sales and the number of rainy days.

For a data set of chest sizes (distance around chest in inches) and weights (pounds) of seven anesthetized bears that were measured, the linear correlation coefficient is r = 0.715. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed.) Since the correlation coefficient r is in the right tail above the positive critical value, there is sufficient evidence to support the claim of a linear correlation. Table of Critical Values of r - X Number of Pairs of Data n Critical Value of r 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 Print Done ×