Can someone please explain whats going on here? Thanks...
1) Consider the following estimated regression equation:
ROEt = 0.23 - 1.50 CEt
The standard error of the coefficient is 0.40 and the number of observations is 32. The 95 percent confidence
interval for the slope coefficient, b1, is:
A) {0.683 < b1 < 2.317}.
B) {-2.317 < b1 < -0.683}.
C) {-2.300 < b1 < -0.700}.
D) {-3.542 < b1 < 0.542}.
Your answer: A was incorrect. The correct answer was B)
{-2.317 < b1 < -0.683}.
The confidence interval is -1.50 � 2.042 (0.40), or {-2.317 < b1 < -0.683}.
2) Consider the regression results from the regression of Y against X for 50 observations:
Y = 5.0 + 1.5 X
The standard error of the coefficient is 0.50 and the standard error of the forecast is 0.52. The 95 percent
confidence interval for the predicted value of Y if X is 10 is:
A) {18.980 < Y < 21.019}.
B) {19.480 < Y < 20.052}.
C) {19.500 < Y < 20.500}.
D) {18.954 < Y < 21.046}.
Your answer: A was incorrect. The correct answer was D)
{18.954 < Y < 21.046}.
The predicted value of Y is: Y = 5.0 + [1.5 (10)] = 5.0 + 15 = 20. The confidence interval is 20 � 2.011 (0.52) or {18.954 < Y <
21.046}.
What are standard error of the coefficient and standard error of the observations?
1) Consider the following estimated regression equation:
ROEt = 0.23 - 1.50 CEt
The standard error of the coefficient is 0.40 and the number of observations is 32. The 95 percent confidence
interval for the slope coefficient, b1, is:
A) {0.683 < b1 < 2.317}.
B) {-2.317 < b1 < -0.683}.
C) {-2.300 < b1 < -0.700}.
D) {-3.542 < b1 < 0.542}.
Your answer: A was incorrect. The correct answer was B)
{-2.317 < b1 < -0.683}.
The confidence interval is -1.50 � 2.042 (0.40), or {-2.317 < b1 < -0.683}.
2) Consider the regression results from the regression of Y against X for 50 observations:
Y = 5.0 + 1.5 X
The standard error of the coefficient is 0.50 and the standard error of the forecast is 0.52. The 95 percent
confidence interval for the predicted value of Y if X is 10 is:
A) {18.980 < Y < 21.019}.
B) {19.480 < Y < 20.052}.
C) {19.500 < Y < 20.500}.
D) {18.954 < Y < 21.046}.
Your answer: A was incorrect. The correct answer was D)
{18.954 < Y < 21.046}.
The predicted value of Y is: Y = 5.0 + [1.5 (10)] = 5.0 + 15 = 20. The confidence interval is 20 � 2.011 (0.52) or {18.954 < Y <
21.046}.
What are standard error of the coefficient and standard error of the observations?