Page 1 Coefficient of correlation Page 2 Coefficient of correlation A statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation). Page 3 Coefficient of correlation A statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation). â€¢ The correlation coefficient, denoted by r, is a measure of the strength of the straight-line or linear relationship between two variables. The correlation coefficient takes on values ranging between +1 and -1. â€¢ The quantity r, called the linear correlation coefficient, measures the strength and the direction of a linear relationship between two variables Page 4 Coefficient of correlation A statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation). â€¢ The correlation coefficient, denoted by r, is a measure of the strength of the straight-line or linear relationship between two variables. The correlation coefficient takes on values ranging between +1 and -1. â€¢ The quantity r, called the linear correlation coefficient, measures the strength and the direction of a linear relationship between two variables Type of correlation coefficient 1. Perfect Positive correlation 2. Perfect negative correlation 3. Moderately Positive correlation 4. Moderate negative correlation 5. Absolute no correlation Page 5 Coefficient of correlation A statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation). â€¢ The correlation coefficient, denoted by r, is a measure of the strength of the straight-line or linear relationship between two variables. The correlation coefficient takes on values ranging between +1 and -1. â€¢ The quantity r, called the linear correlation coefficient, measures the strength and the direction of a linear relationship between two variables Type of correlation coefficient 1. Perfect Positive correlation 2. Perfect negative correlation 3. Moderately Positive correlation 4. Moderate negative correlation 5. Absolute no correlation Perfect Positive correlation â€¢ If x and y have a strong positive linear correlation, r is close to +1. An r value of exactly +1 indicates a perfect positive fit. Positive values indicate a relationship between x and y variables such that as values for x increases, values for y also increase.Read More

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