Carrie and Ryan have both computed the slope of the least-squares line using data for which the standard deviation of the x-values and the standard deviation of the y-values are equal. Carrie gets a value of 0.5 for the slope, and Ryan gets a value of 2. One of them is right. Which one?

Carrie's slope value is correct.

Step-by-step explanation:

The least square regression line is:

Here is the slope of the line.

The formula to compute the slope is:

Here = standard deviation of x and = standard deviation of y.

It is provided that the standard deviation of x and y are equal.

So the slope of the regression line is:

Thus, if the standard deviation of x and y are equal the slope of the line is same as the correlation coefficient.

The correlation coefficient is a measure used to determine the strength of the linear relationship between the variables.

It ranges from -1 to 1.

Carrie's slope value was 0.50 and Ryan's slope value was 2.

Since -1 ≤ r ≤ 1 the value of slope cannot be 2.

Thus, Ryan's slope value is incorrect.

assuming you mean addition: addition and subtraction are reverse operations.

step-by-step explanation: