When enrollment at college decreases, the number of teachers decreases. Positive Correlation is the positive relationship between two variables wherein the movements of variables are positively linked and therefore, if one variable goes up and the other variable also goes up, and vice-versa. A high value of ‘r’ indicates strong linear relationship, and vice versa. 2. It is expressed as +1. Perfect Positive Correlation. Explanation. The linear correlation coefficient is always between -1 and 1. True or False: The fact that two variables are correlated does not mean that one causes the other. True or False: A correlation of 1.0 implies a perfect positive correlation. Positive Correlation Related to Education . It is of two types: (i) Positive perfect correlation and (ii) Negative perfect correlation. If r = +1, there is a perfect positive linear relation between the two variables. If r = -1, there is a perfect negative linear relation between the two variables. In both the extreme cases, there is either perfect negative or perfect positive correlation, respectively. The closer r is to +1, the stronger is the evidence of positive … High school students who had high grades also had high scores on the SATs. As a student’s study time … The exhibit shows the plotted means and standard deviations obtainable from portfolios of two perfectly positively correlated stocks.Points A and B on the line, designated, respectively, as "100% in stock 1" and "100% in stock 2," correspond to the mean and standard deviation pairings achieved when 100 percent of an investor's wealth is held in one of the … Correlation is used in many fields, such as mathematics, statistics, economics, psychology, etc. 3. The coefficient of determination is: The proportion of variance in one variable that is accounted by another. Correlations Range from -1 to +1 A perfect positive relationship is +1 A perfect negative relationship is -1 The strength of the correlation is inferred by judging the compactness of a scatterplot of the X and Y values More compact = Stronger correlation Less compact = Weaker correlation The table below demonstrates how to interpret the size (strength) of a correlation … True or False: The value of the correlation (r) between X and Y does not change if all values of X are multiplied by 100. As attendance at school drops, so does achievement. Positive correlation implies there is a positive relationship between the two variables, i.e., when the value of one variable increases, the value of other variable also increases, and the opposite happens when the value of one variable decreases. 1. 4. A correlation of -1 shows a perfect negative correlation, while a correlation of 1 shows a perfect positive correlation. A correlation of 0 means that no relationship exists between the two variables, whereas a correlation of 1 indicates a perfect positive relationship. A correlation of +.60 is _____ as strong as a correlation of +.30: Four lines. A positive value indicates positive correlation. There is perfect positive correlation between the two variables of equal proportional changes are in the same direction. Positive Correlation Definition. It lies between -1 and +1, both included. An example of perfect positive linear correlation. A value of zero means no correlation. Perfect correlation is that where changes in two related variables are exactly proportional. If equal proportional changes are in the reverse direction. 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