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The r-value that represents the strongest negative correlation among the given choices would be -0.7. The graph below shows a strong negative relationship between two sets of data points plotted on the graph. When the correlation is positive C. Nei; If the dots of a scatter plot seem to be randomly distributed across the graph, what can we conclude out of the following? The correlation coefficient is strong at .58. Indicate the effect **(shift of the frontier, movement along the frontier**, or **no change**) of each of the following events. Professor Rossi wants to represent the data she collected on age and income as single points on a chart. What is the first step of the scientific method? 0.156 a. correlation a. Professor Hartwick finds that people who tend to score low on one variable tend to score low on another variable. 180 seconds . Which of the following correlations is the strongest? Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. Negative correlation is used in many to make predictions and decisions as it connects the relationship between two factors. Strong: Negative: The Pearson correlation coefficient is also an inferential statistic, meaning that it can be used to test statistical hypotheses. A correlation coefficient is a number between -1 and 1 that tells you the strength and direction of a relationship between variables. Quizlet A low r2 means that only a small portion of the variability of one variable is explained by its relationship to the other variable; relationships with other variables are more likely to account for the variance in the variable. However, this rule of thumb can vary from field to field. Researchers are conducting a study where they have concerns that the participant's beliefs and/or the experimenter's beliefs may skew the results. Then state whether you believe that the two variables are correlated. WebQ. Ch 2 Study guide In this study, the dependent variable is: A researcher uses the experimental method to determine if texting while driving causes more accidents. That means that it summarizes sample data without letting you infer anything about the population. In this study, ________ is the independent variable and ________ is the control group. Correlation Coefficient