Can someone explain seasonal regression for these two charts I made.
Can someone explain seasonal regression for these two charts I made.
QUESTION 27 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 71.6 Q2 83.2 Q3 106 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,942 Time 67.1 What is the trend projection of the...
A regression model with quarterly seasonal dummy variables was fit to quarterly sales data (in $10,000) for a small company. The results are shown below. The dummy variables are defined as follows: Q1 = 1 if the time period is Quarter 1, and otherwise. Q2 and Q3 are defined similarly. Abbreviations Used in the Output • "R-Sq" stands for "r squared" • "R-Sq" stands for "adjusted r squared • s stands for "regression standard error," equal to SSE V n-(p+1)...
How can I fix that ? Can you please explain clearly ?
main.cpp 2 3 using namespace 4. 5 int main() std; unsigned int x = 0b01101100; 8 9 10 12 13 14 15 16 17 18 19 20 21 unsigned int z = 0x12345678; unsigned int e 0x7; unsigned int w = 0x87654321; unsigned int =0x123; int 1; int 92; int Q3; int Q4; Q1=x&y; cout << bitset<8> (Q1) << endl; Q2=-(x| y); cout << bitset<8>(Q2) << endl; Q3=(z...
Can someone help with this. The Master Budget 1. Sales Budget 2. Production Budget Texas Rex sells t-shirts. Expected sales for each quarter is 1000, 1200, 1500, and 2000 t-shirts at $10.00 each. They anticipate no price change. Texas Rex, Inc. Sales Budget For the year ending December 31, 2018 Q1 Q2 Q3 Q4 Total Units Unit Selling Price _______ _______ ________ _______ ________ Budgeted Sales A production budget tells management how many units must be produced to satisfy...
Can someone tell me where I'm going wrong? I have these two
problems: The professor uploaded a video explaining how to solve
them (generally, he didn't use numbers. He said the steps are the
same for both problems except for the last step since the first
problem is asking for magnitude and the second is asking for an
angle. I followed his steps but I keep getting the wrong answer.)
Also for the 2nd question I'm not sure if I'm...
3. Using the TGT Quarterly Sales (Target Corp.) data:Assume October 2011 is Quarter 3, Period (Trend) 1, etc.a. Fit a regression model with a time trend and seasonal dummy variables to the sales data.b. Is the time trend coefficient statistically significant? How can you tell?c. Are the seasonal dummy variables statistically significant? How can you tell?d. Assume time is 0. Calculate sales for Q3. Round to two decimal places.e.What is the coefficient on the first quarter? Round to two decimal...
Confusion Products has projected the following sales for the coming year:Q1 $620 Q2 $690 Q3 $860 Q4 $780Sales in the year following this one are projected to be 15 percent greater in each quarter.Calculate payments to suppliers assuming that the company places orders during each quarter equal to 30 percent of projected sales for the next quarter. Assume thatthe company pays immediately.1. What is the payables period in this case?2. For payment of accounts:Q1 $Q2 $Q3 $Q4 $Calculate payments to...
Can someone please explain the
intuition, why is Q3 the answer?Please be detailed in
explanation
ci Dresidual IS J 2. See graph below. $/unit AC .DMarket Dresidual Q2 Quantity Q4 Qs Limit Pricing model, increasing returns to scale. Based on the above the graph, the limit quantity is: а. Qт- b. Qг- с. Qз. d. Q4. е. Qs. f. none of the above.
ci Dresidual IS J 2. See graph below. $/unit AC .DMarket Dresidual Q2 Quantity Q4 Qs Limit...
Year Quarter Units 1 Q1 20 1 Q2 100 1 Q3 175 1 Q4 13 2 Q1 37 2 Q2 136 2 Q3 245 2 Q4 26 3 Q1 75 3 Q2 155 3 Q3 326 3 Q4 48 4 Q1 92 4 Q2 202 4 Q3 384 4 Q4 82 5 Q1 176 5 Q2 282 5 Q3 445 5 Q4 181 Using this data: a. Plot this data on a line chart with quarters from years 1-5 on...
Item 9Item 9 2 pointsCoca-Cola Revenues ($ millions), 2005–2010Quarter200520062007200820092010Qtr15,2045,1266,0857,4007,1708,000Qtr26,3086,4757,7159,0558,2288,663Qtr36,0356,4187,6728,3118,0358,415Qtr45,5495,9157,3137,0807,49210,483 Click here for the Excel Data File (a-1) Use MegaStat or Minitab to deseasonalize Coca-Cola’s quarterly data. (Round your answers to 3 decimal places.) 1234200520062007200820092010mean (a-2) State the adjusted four quarterly indexes. (Round your answers to 3 decimal places.) Q1Q2Q3Q4 (a-3) What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.) yt = xt + (b) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) yt = + t + Q1...