Which of the following two variables have a correlation coefficient of 1?
| Outside temperature and sales of ice cream on that day |
| One's daily sugar intake measured in pounds and one's daily sugar intake measured in kilograms |
| One's length of time spent studying and one's grade on a test |
| One's height and one's IQ |
The two variables have a correlation coefficient of 1 is:
Answer: One's daily sugar intake measured in pounds and one's daily sugar intake measured in kilograms.
Explanation:
Here one variable is One's daily sugar intake measured in pounds and another variable is one's daily sugar intake measured in kilograms. Each observation in daily sugar intake (pounds) changes daily sugar intake (kilogram) in same extent. Thus the correlation coefficient between these two variables is 1.
Which of the following two variables have a correlation coefficient of 1? Outside temperature and sales...
1). Decide whether there is a positive correlation, negative correlation, or no correlation in the following pairs of variables: A) Amount of alcohol consumed and speed of reaction to a suddenly appearing stimulus. B) Height and intelligence. C) Number of calories consumed and weight. D) How much pain a person is in and happiness. E) The rating of physical attractiveness of husbands compared to the rating of physical attractiveness of their respective wives. F) IQ scores and the number of...
Give an example of variables that have correlation but no causation exists? [1 sentence or a graph] You may NOT use the ice cream/crime example AND you may not copy information verbatim from websites. You may look at https://stats.stackexchange.com/questions/36/examples-for-teaching-correlation-does-not-mean-causation for examples but you need to (at a minimum) put what you find in your own words and explain what the true cause of the relationship is. In the ice cream/crime example it was found that in a particular city that...
A correlation tests whether differences exist between two variables. Question 1 options: a) True b) False Question 2 (1 point) You have tested to find whether a relationship exists between hours of sleep the night before an exam and grade on the exam. You have a participant pool of n = 30, df = 28. Your hypothesis is that a significant relationship will exist, where those with more hours of sleep receive higher grades on the exam. This is a...
1. Which of the following is correct? A. In correlation analysis there are two variables and both are dependent B. I n correlation analysis there are two variables and both are independent C. I n regression analysis there are two variables and both are dependent D: In regression analysis there are two variables and both are independent 2. measures the strength of linear association between two variables. A. Regressor B. Regressand C. Correlation coefficient D. None 3. the independent variables....
Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...
Suppose that two variables, x and y, have a correlation coefficient of 0.27. Which of the following statements are true? You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers. The variables have a positive linear relationship. There is a weak relationship between these two variables. There is a strong relationship between these two variables As xincreases, y decreases. As x...
correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which statement is best? a. There is a strong positive association between x and y and a straight line fit to the data cannot be substantially improved by fitting a curve to the data. b. There is a strong positive association between x and y and a straight line fit to the data can certainly be substantially improved by fitting a curve to the data....
1. The Pearson’s correlation is used to test a relationship between two variables___________. A. if a non-linear relationship is tested. B. if a linear relationship is tested. C. if both variables are continuous (i.e., are measured on an interval or ratio scale). D. if both variables are measured on a nominal scale. E. A & D F. B & C 2. A researcher found a Pearson correlation of r = - 0.28 between self-reported stress level and intensity of physical...
1. Suppose you were to collect data for each pair of variables below. You wish to make a scatter plot. Decide which would be better suited for the explanatory variable and the response variable. Explain your choice b. Discuss the direction, form and strength you would expect to see. a. i. College freshman: shoe size and grade point average. Apples: circumference (inches) and weight (ounces). When climbing a mountain: altitude and temperature iv. Drivers: Blood alcohol level, reaction time People:...