Sometimes distinct patterns around a trend line can be caused by
A.
poor underlying data.
B.
seasonal variation.
C.
dummy variables.
D.
statistical anomalies.
seasonal variation
the above will be answer..
because some periods results in more demand and some less demand resulting in distinct patterns
Sometimes distinct patterns around a trend line can be caused by A. poor underlying data. B....
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...
5. The components of time-series are: a. Trend, Seasonal, Movement, and Random b. Trend, Mobility, Cyclical, and Seasonal c. Trend, Seasonal, Cyclical, and Random d. Trend, Seasonal, Cyclical, and Perfection The mean absolute deviation measures the accuracy of a forecast by calculating.. a. the mid-point of absolute forecasting error per period of historical data. b. the average absolute forecasting error per period of historical data. c. the standard deviation of absolute forecasting error per period of historical data d. both...
Solve the following problem in R and print out the commands and outputs. 3. The data set fancy (you need to library the fpp package to get the dataset) concern the monthly sales figures of a shop which opened in January 1987 and sells gifts, souvenirs, and novelties. The sales volume varies with the seasonal population of tourists. (a) Produce a time plot of the data and describe the patterns in the graph. Identify any unusual or unexpected fluctuations in...
6. eBook The quarterly sales data (number of copies sold) for a college textbook over the past three years follow Quarter Year 1 Year 2 Year 3 1,765 1,063 2,974 2,554 1,591 1,827 935 2,646 2,423 980 2,812 2,358 4 There appears to be a seasonal pattern in the data and perhaps amoderate upward linear trend b. Use the following dummy variables to develop an estimated regression equation to account for any seasonal effects in the data: Qtrl 1 if...
please explain your answer.
2:5-34 Resolve Problem 5-33 with a = 0.3. Using MAD, which smoothing constant provides a better forecast? 3:5-35 A major source of revenue in Texas is a state sales tax on certain types of goods and services. Data are com- piled, and the state comptroller uses them to project future revenues for the state budget. One particular category of goods is classified as Retail Trade. Four years of quarterly data (in $1,000,000s) for one par- ticular...
Please help. I'm stuck.
The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 N 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615 (a) Construct a time series plot. 3500 3000+ 2500+ 2000+ N 1 500+ 1000+ 500+ 0 4 1 4 1 + 2 3 Year 1 2 3 Year 2 2 3 Year 3 O Year/Quarter...
2 pts. when regression line has no slope, we can still predict Y from X because the line still has a y intercept. A. True B. False 34. 2 pts. Can we infer causality between two variables solely on the basis of their correlation? A. Yes, we can infer causality. B. No, we cannot infer causality. 35. 2 pts. Which of the following is the fundamental task of regression? A. Correctly plotting all of the points on a scatter plot....
(1) When analyzing data where a steady increase or decrease over time can be observed, which method of forecasting would best fit and would probably predict a similar increase or decrease? Select one: a. Modified Trend Method b. Weighted Series Method c. Moving Average Method d. Normal Curve Method e. Trend Analysis Method (2) If you graphed the data points in a particular time series and a relatively flat, horizontal pattern was observed, the method that should be used to...
32. A scatter plot shows data points that are widely scattered around a line that slopes down to the right. Which of the following values would be closest to the correlation for these data? a. -0.40 b. -0.80 c.0.40 d. 0.80
9. SSg can never be a. Larger than SST b. Smaller than SST c. Equal to 1 d. Equal to zero 10. What does the standard error of the estimate measure? a. The variation around the regression line b. The explained variation c. The variation of the X variable d. The total variation of the Y variable