1- The correlation coefficient for two variables was r = 0.5357. According
to this data, it is classified as a correlation. a. strong positive b. weak positive c. moderate positive
2- The correlation coefficient for two variables was: r = -0.253. According to this data, it is classified as a correlation a. Poor or weak negative b. invalid or nonexistent c. moderate negative
3- It is used in order to predict the values of a dependent variable based on the values of at least one independent variable. a. scatterplot b. determination coefficient c. Correlation Analysis
4- The independent variable is plotted on the axis "x" and dependent on the axis "y" a. Correlation Analysis b. Regression Analysis c. scatterplot
5- It is equal to the sum of the squares regression of the sum of squares total a. scatterplot b. determination coefficient c. Correlation Analysis
6- Given the following regression equation: y = 16 - 0.5x, where x = 6 the predicted value of "y" is: a.16 b.15 c.13
7- Given the following regression equation: y = -2.5x - 7 when x = -2, the predicted value of "y" is: a. -2 b. -12 c. 2
8- If the sum of squares regression SCR = 3.6 and the total sum of squares ScT = 9, the coefficient of determination is: a. 0.60 b. 0.40
9- If the sum of squares regression SCR = 33 and the sum of squares SCT = 44, the coefficient of determination is a. 0.70 b. 0.75