examples of correlation coefficients

What is the upper bound the correlation coefficient r ? => 1 or 2 or 0 or -1..

Which of the following statement(s) is/are false? I. The coefficient of nondetermination is found by subtracting the coefficient of determination from 1. II. As the correlation coefficient approaches zero, the coefficient of determination increases ..

Which of the following statement(s) is/are false? I. The multiple correlation coefficient is always higher than the individual correlation coefficients. II. The coefficient of multiple determination denoted by R 2 , is the amount of variation explai..

There are two things that should be done before doing regression analysis. They are: I. Collect the data and then construct a scatter plot to determine the nature of the relationship. II. Collect the data and construct a histogram. III. Compute the value of the correlation coefficien..

The formula for the t test using correlation coefficient r is => t = r n - 1 1 - r 2 , df = n - 2 or t = r n - 2 1 - r 2 , df = n - 2 or t = r n - 2 1 - r 2 , df = n - 1 or t = r n - 1 1 - r 2 , df = n - 1..

Materials μs Steel, steel 0.58 Steel, Brass 0.35 Glass, glass 1.00 Wood, wood 0.35 Wood, metal 0.40 Ice, ice 1.10 Copper, copper 1.60 Teflon, Teflon 0.04 Rubber tyre, dry concrete road 1.0 Rubber tyre, wet concrete road 0.7 ..

Positive correlation means ______. => points can be approximated by a line with a negative slope or points can be approximated by a line with a positive slope or points that cannot be approximated by a line or points can be approximated by a curve..

Which of the following statement(s) is/are true? I. The closer the observed values are to the predicted values, the larger the standard error of the estimate. II. The standard error of the estimate can be used for constructing a prediction interval about a y ′ value. III. By selecting an &alp..

Which of the following statement(s) is/are true? I. If the correlation coefficient is significant, the equation of the regression line cannot be determined. II. The values of the dependent variable can be predicted for the values of the independent variable using the regression ..