A forecaster used the regression equation
Qt = a + bt + c1D1 + c2D2 + c3D3
and quarterly sales data for 1998I-2016IV (t = 1, ...,72) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2, and D3 are dummy variables for quarters I, II, and III.
Using the estimation results given above, the predicted level of sales in 2019III is _______ units.
201
288.5
252.5
231.5
A forecaster used the regression equation
Qt = a + bt + c1D1 + c2D2 + c3D3
and quarterly sales data for 1998I-2016IV (t = 1, ...,72) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2, and D3 are dummy variables for quarters I, II, and III.
Using the estimation results given above, the predicted level of sales in 2018I is _______ units. *
230.5
240.5
194.5
218.5
A forecaster used the regression equation
Qt = a + bt + c1D1 + c2D2 + c3D3
and quarterly sales data for 1998I-2016IV (t = 1, ...,72) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2, and D3 are dummy variables for quarters I, II, and III.
The estimated QUARTERLY increase in sales is ______ units.
87
2.5
12
36
A forecaster used the regression equation Qt = a + bt + c1D1 + c2D2 +...
A forecaster used the regression equation Qt = a + bt + C1D1 + c2D2 + c3D3 and quarterly sales data for 19981-20161V (t = 1, ...,72) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2, and D3 are dummy variables for quarters I, II, and III. DEPENDENT VARIABLE: QT R-SQUARE P-VALUE ON F OBSERVATIONS: 72 0.8798 122.547 0.0001 PARAMETER STANDARD VARIABLE ESTIMATE ERROR T-RATIO P-VALUE INTERCEPT 36 12.54 2.87 0.0055 2.5...
A forecaster used the regression equation Qt = a + bt + C1 Da + c2D2 + c3D3 and quarterly sales data for 19981-2016/V (t= 1, ...,72) for an appliance manufacturer to obtain the results shown below. Qis quarterly sales, and D1, D2, and D3 are dummy variables for quarters I, II, and III. DEPENDENT VARIABLE: QT R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 72 0.8798 122.547 0.0001 PARAMETER ESTIMATE STANDARD ERROR VARIABLE T-RATIO P-VALUE INTERCEPT т D1 D2 D3 36...
Suppose 1000 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. Exactly 495 heads Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. The probability of getting exactly 495...
Suppose 16 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. More than 11 tails. Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. Binomial probability = (Round to...