Explanation. 1. A correlation of +.60 is _____ as strong as a correlation of +.30: Four lines. It is of two types: (i) Positive perfect correlation and (ii) Negative perfect correlation. A positive value indicates positive correlation. 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 As a student’s study time … Positive Correlation Related to Education . An example of perfect positive linear correlation. Sample correlation coefficient: r = -1.0 Equation of least-squares regression line: 3 280 2 w n= - + w n= - +1.5 280 or 1 A slope of 5/9 tells us that when the F temp increases 90, the C temp increases 50 or C increases 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 … True or False: The fact that two variables are correlated does not mean that one causes the other. The closer r is to +1, the stronger is the evidence of positive … It lies between -1 and +1, both included. The coefficient of determination is: The proportion of variance in one variable that is accounted by another. 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. 4. The table below demonstrates how to interpret the size (strength) of a correlation … It is expressed as +1. A correlation of 0 shows no relationship between the movement of the two variables. When enrollment at college decreases, the number of teachers decreases. A correlation of -1 shows a perfect negative correlation, while a correlation of 1 shows a perfect positive correlation. As attendance at school drops, so does achievement. It is the … 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. The linear correlation coefficient is always between -1 and 1. A correlation of 0 means that no relationship exists between the two variables, whereas a correlation of 1 indicates a perfect positive relationship. 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. If equal proportional changes are in the reverse direction. A value of zero means no correlation. Perfect correlation is that where changes in two related variables are exactly proportional. Positive Correlation Definition. Correlation is used in many fields, such as mathematics, statistics, economics, psychology, etc. If r = +1, there is a perfect positive linear relation between the two variables. 3. True or False: A correlation of 1.0 implies a perfect positive correlation. 2. There is perfect positive correlation between the two variables of equal proportional changes are in the same direction. 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. 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