Question: Review Data View ne Home Formulas Page Layout Help Insert General 2 X Calibri 14 AA = Conditional Format Format as Table Paste B I

Review Data View ne Home Formulas Page Layout Help Insert General 2 X Calibri 14 AA = Conditional Format Format as Table Paste B I DE MA Jill JUL + $ % ) 898 Number 5 2 Cell Styles Styles, Font 5 Alignment Undo Clipboard D E F G H Consider the data set on the left with four years of quarterly sales data 1 a. Visualize the data set. Is it a stationary or non- stationary time series? Explain. 2 pt. 4 V: X V fx A B Sales (in Year Quarter thousand $) 1 1 218 2 247 3 243 5 4 292 6 2. 1 225 7 2 254 8 3 255 9 4 299 10 3 1 234 11 2 265 12 3 264 13 327 14 1 250 b. Develop a linear trend model. State the model. Derive the R-square value and explain what it means. Use the model to forecast sales for the first two quarters of year 5.4 pts. Net c. Next develop a model with linear trend and seasonal variables. Choose and define two variables. Generate the Regression Report. Based on the Report state the model. Find the R-square and explain what it means. Use the model to forecast sales for the first two 4 Review Data View ne Home Formulas Page Layout Help Insert General 2 X Calibri 14 AA = Conditional Format Format as Table Paste B I DE MA Jill JUL + $ % ) 898 Number 5 2 Cell Styles Styles, Font 5 Alignment Undo Clipboard D E F G H Consider the data set on the left with four years of quarterly sales data 1 a. Visualize the data set. Is it a stationary or non- stationary time series? Explain. 2 pt. 4 V: X V fx A B Sales (in Year Quarter thousand $) 1 1 218 2 247 3 243 5 4 292 6 2. 1 225 7 2 254 8 3 255 9 4 299 10 3 1 234 11 2 265 12 3 264 13 327 14 1 250 b. Develop a linear trend model. State the model. Derive the R-square value and explain what it means. Use the model to forecast sales for the first two quarters of year 5.4 pts. Net c. Next develop a model with linear trend and seasonal variables. Choose and define two variables. Generate the Regression Report. Based on the Report state the model. Find the R-square and explain what it means. Use the model to forecast sales for the first two 4

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