In: Economics
Year |
Fall |
Winter |
Spring |
Summer |
1995 |
220 |
203 |
193 |
84 |
1996 |
235 |
208 |
206 |
76 |
1997 |
236 |
206 |
209 |
73 |
1998 |
241 |
215 |
206 |
92 |
1999 |
239 |
221 |
213 |
115 |
Regression Equation: Slope:
Intercept:
Equation of the predicted line:
Solution:-
Given that
The regression has been performed on Microsoft Excel.
Year | Y | Time | Fall | Winter | Spring | Summer |
1995 | 220 | 1 | 1 | 0 | 0 | 0 |
1995 | 203 | 1 | 0 | 1 | 0 | 0 |
1995 | 193 | 1 | 0 | 0 | 1 | 0 |
1995 | 84 | 1 | 0 | 0 | 0 | 1 |
1996 | 235 | 2 | 1 | 0 | 0 | 0 |
1996 | 208 | 2 | 0 | 1 | 0 | 0 |
1996 | 206 | 2 | 0 | 0 | 1 | 0 |
1996 | 76 | 2 | 0 | 0 | 0 | 1 |
1997 | 236 | 3 | 1 | 0 | 0 | 0 |
1997 | 206 | 3 | 0 | 1 | 0 | 0 |
1997 | 209 | 3 | 0 | 0 | 1 | 0 |
1997 | 73 | 3 | 0 | 0 | 0 | 1 |
1998 | 241 | 4 | 1 | 0 | 0 | 0 |
1998 | 215 | 4 | 0 | 1 | 0 | 0 |
1998 | 206 | 4 | 0 | 0 | 1 | 0 |
1998 | 92 | 4 | 0 | 0 | 0 | 1 |
1999 | 239 | 5 | 1 | 0 | 0 | 0 |
1999 | 221 | 5 | 0 | 1 | 0 | 0 |
1999 | 213 | 5 | 0 | 0 | 1 | 0 |
1999 | 115 | 5 | 0 | 0 | 0 | 1 |
Dummy variables have been created for the different seasons for performing the regressions.
The regression coefficients calculated are as follows:
Coefficients | |
Intercept | 190.025 |
Time | 5.125 |
Fall | 28.8 |
Winer | 5.2 |
Spring | 0 |
Summer | -117.4 |
Intercept = 190.025
Slope = 5.125 (Regression coefficient of Time)
Equation of predicted line:
Y = 190.025 + 5.125 * (Time) + 28.8 * (Fall) + 5.2 * (Winter) - 117.4 * (Summer)
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