The scatter diagram shows:


a. The frequency with which each value occurs in the data.

b The values ​​of a variable designed in comparison with the values ​​of a second variable.

c. The mean data sets.

d. The percentage of data belonging to different categories.

The correct is b right?

After making an investigation, during which the relationship between intelligence and academic achievement, calculated the correlation coefficient between the two variables, which was found to be 0.29. The researchers concluded that there is no correlation between the two variables.

 
True or False?

The last one is false right? there is a correlation (weak).

First one is B.

I would agree with the second too, if P<.05.

correlation coefficient is not related to p value. You cannot draw conclusions using the correlation coefficient.. I changed my mind... The answer is True.. If it was o.30 or bigger it would be false..

Yes, the correct answer is b. The scatter diagram shows the values of one variable plotted against the values of a second variable. It is a graphical representation that helps visualize the relationship between the two variables and identify any patterns or trends that may exist.

To create a scatter diagram, you would need a set of data that includes observations or measurements for both variables. Each observation consists of a pair of values, one for each variable. For example, you may have data on the age and height of individuals and want to examine if there is any relationship between the two variables.

To construct a scatter diagram, you would plot the values of one variable on the x-axis (horizontal axis) and the values of the other variable on the y-axis (vertical axis). Each pair of values is represented by a point on the graph. By observing the pattern of the points, you can assess the nature and strength of the relationship between the variables (e.g., positive, negative, or no relationship).

In summary, the scatter diagram displays the values of one variable in comparison to the values of a second variable, providing a visual representation of their relationship.