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.

the quotient is 4x^2 - 27x + 167 with a remainder of -996

step-by-step explanation:

in synthetic division, use -6 as the divisor and use the coefficients {4, -3, 5, 6}:

-6     )   4     -3     5     6

                -24   162 -1002

          4   -27   167   -996

thus, the quotient is 4x^2 - 27x + 167 with a remainder of -996.

note:   your "4x°-3x+5x+6" is ambiguous / incomplete.   i had to assume that you meant '4x^3 - 3x^2 + 5x + 6."

$450 is the answer.

step-by-step explanation:

30% of 450 = 135

450-135=315