If there is a very strong correlation between two variables then the correlation coefficient must be

Related MCQs

• You studied the impact of the dose of a new drug treatment for high blood pressure. You think that the drug might be more effective in people with very high blood pressure. Because you expect a bigger change in those patients who start the treatment with high blood pressure, you use regression to analyze the relationship between the initial blood pressure of a patient (x) and the change in blood pressure after treatment with the new drug (y). If you find a very strong positive association between these variables, then:
• Suppose the correlation coefficient between height (as measured in feet) versus weight (as measured in pounds) is 0.40. What is the correlation coefficient of height measured in inches versus weight measured in ounces? [12 inches = one foot; 16 ounces = one pound]
• If two variables, x and y, have a very strong linear relationship, then
• If the coefficient of determination is equal to 1, then the correlation coefficient
• You have carried out a regression analysis; but, after thinking about the relationship between variables, you have decided you must swap the explanatory and the response variables. After refitting the regression model to the data you expect that:
• If the coefficient of determination is 0.81, the correlation coefficient
• If the correlation coefficient is a positive value, then the slope of the regression line
• Assume the same variables as in question 28 above; height is measured in feet and weight is measured in pounds. Now, suppose that the units of both variables are converted to metric (meters and kilograms). The impact on the slope is:
• The correlation coefficient is used to determine:
• The coefficient of correlation