1)
A scatter plot is way to visually inspect the correlation of two variables.
It is a correct statement.
Hence it is true.
2)
Frequency table is way to represent how many times a particulara observation is occurred in data.
Hence given statement frequency table is a way to tell if two variables are correlated is false
Hence answer is false.
true or false QUESTION 1 1 points (Extra Cre A scatterplot is a way to visually...
Question 5 Paired occurrences are displayed in frequency distributions. a. True b. False Question 6 This statistical feature distinguishes histograms from bar charts a. They have more than 1 category (bar) b. There is no ‘0’ value c. Data must be continuous d. Outliers are excluded This graphical display of data is best suited for longitudinal data (to show changes over time) a. Bar chart b. Histogram c. Scatterplot d. Line chart Question 8 Dependent variables are usually placed on...
Question 3: a. I can tell the strength of a relationship between two variables by looking at the sign of the correlation coefficient(2 points) True False b. Which correlation coefficient represents the strongest relationship between two variables: (2 points) + 0.75 - 0.9 + 0.20 - 0.50
True or False 1. The correlation coefficient is way to determine if one variable causes another variable to change. 2. A linear model is representation of the linear relationship between two variables. 3. The least squares line, or line of best fit, is the line which minimizes the sum of the individual squares of the residuals. 4. Most linear models do not have any residuals. 5. Regression equations can be used to make predictions. However, the context of the data...
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...
A covariance coefficient is bounded between 1 and -1. True or False? A correlation of 1.0 means that a scatterplot of X and Y would result in all the values falling on a straight, downward sloping line. True or False?
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...
70 in letter Mail EDWI.. Loyola Univ QUESTION 13 10 points (Extra Cre Match the following items Nursing Home a can be or institution- based b. intended more for caregivers than care recipients C. Institution-based long-term care setting d. community-based long-term care setting Group care given in clinics Adult day care te care QUESTION 14 2 poin Long-Term Care Services can be provided in either rtype of setting. a. Community-based // Institutionally- based Ob. Respite Il Hospital Od. Primary Care...
True or false: A correlation analysis test the association between two continuous variables. A. True B. False
I. True or False, 25 points (5 each), Read the following statements and indicate whether the statement is true or false. For extra credit (5 points each) explain how the false statements are not true. 3. DNA polymerase I performs proofreading by requiring a higher concentration of the next dNTP following a mismatch, allowing time for unwinding of the nascent duplex and 3 5' exonuclease digestion. 4. The DNA duplex of the genome is flexible enough to allow many values...
Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1. d. There is a strong positive relationship between the two variables.