graph to show correlation between two variables

What is the formula for the regression coefficient (b) in the linear prediction rule?Ī. the sum of the products of the deviation scores for X and Y divided by SS Y (the sum of squared deviations for the Y variable)ī. In the equation for a line used in regression for the purpose of predicting the values of the criterion variables given values of predictor variables, Y (predicted) = a + b (X), a is the symbol for the _. In the equation for a line used in regression for the purpose of predicting the values of the criterion variables given values of predictor variables, Y (predicted) = a + b (X), b is the symbol for the _. The correlation coefficient is likely to be presented in a research article as _. A prediction using both pieces of information could be made using _. However, the instructor also has information about their creativity scores. With statistical prediction, the variable being predicted from is called the _ and the variable being predicted to is called the _.Īn instructor is making predictions about people's creative writing ability based on scores on a general writing-ability test. In this situation, the SAT score would be the _. Suppose that a counselor wants to estimate a person's college GPA from the person's SAT score. Two variables, A and B, have a strong linear correlation. Which of the following represents the strongest linear correlation? a correlation coefficient should only be figured if a clear curvilinear relationship is observed it provides an estimate of the degree and direction of correlation to provide a check on calculationsĭ. there are different procedures depending on whether there appears to be a positive or a negative correlationĬ. there is no point in figuring the correlation if a clear line is formedī. Researchers should make a scatter diagram before figuring correlation coefficients because _.Ī. there is a perfect positive linear correlationĬ, there is a perfect negative linear correlationĪ political scientist conducted a study measuring the relationship between two political attitudes and obtained a correlation of -.07. If _, then the value of the correlation coefficient is zero.Ī. The range of the correlation coefficient is _.ī. the lower the level of job satisfaction, the higher the level of absenteeism the lower the level of job satisfaction, the lower the level of absenteeismĭ. level of job satisfaction is unrelated to absenteeismĬ. the higher the level of job satisfaction, the higher the level of absenteeismī. The relation between exercise and how well people do on the test is an example of _.Ī study found that absenteeism from work is negatively correlated with job satisfaction.

Beyond a certain point, however, the more they exercise, the worse people do on the test.

When the dots on a scatter diagram are best described by a straight line from the upper left part of the diagram to the lower right part of the diagram, the correlation is said to be _.Ī researcher discovers that if people exercise before a test, the more they exercise, the better they do on the test. In a _ correlation high scores go with high scores and low with low in a _ correlation high scores go with low scores and low with high. pattern of the relationship between two variablesĭ. differences in the means of three or more variables pattern of causation between two variablesī. A graph that shows the _ is a scatter diagram.Ī.

Graph to show correlation between two variables