4. (Integrating dummy variables) You fit a purely seasonal model with a full set of standard...
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...
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 and other devede are defined as follows: Q1 = 1 if the time period is Quarter 1, and O otherwise. Q2 and 3 are defined similarly. Abbreviations Used in the Output • "R-So" stands for "r squared • "R-Sq" stands for "adjusted rsquared SSE • s stands for "regression standard error," equal...
2. Describe how you would construct a purely seasonal model for the following monthly series. In partic- ular, what dummy variable() would you use to capture the relevant effects? (a) A sporting goods store finds that detrended monthly sales are roughly the same for each month in a given 3-month season. For example, sales are similar in the winter months of January, February, and March, in the spring months of April, May, and June, and so on. (b) A campus...
1 out of 1 points This applies to questions 3 and 4 Suppose you have fit a linear regression equation as follows: û = 200+ 0.10X1 +0.20x2 -0.93X3 Calculate the estimated value of y if xj is 100, x2 is 50, and x3 is 200. Provide your answer as a whole number. Selected Answer: 34 Question 4 O out of 1 points Suppose the true value of y is equal to 40 when X1 is 100, x2 is 50, and...