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Additive regression model for the Apple prices is: Dependent variable is: Apples R squared = 51.9% R squared (adjusted) = 34.9% s = 0.1108 with 47 - 13 = 34 degrees of freedom
Variable Intercept
Coefficient - 114.825
SE(Coeff) 29.46
t-ratio - 3.90
P-value 0.0004
Time
0.057746
0.0147
3.94
0.0004
Jan
- 0.001438
0.0783
- 0.018
0.9855
Feb
- 0.007062
- 0.090
0.9287
Mar
0.003626
0.0784
0.046
0.9634
Apr
0.015064
0.192
0.8488
may
0.058751
0.0785
0.749
0.4592
Jun
0.115689
0.0786
1.47
0.1501
Jul
0.173627
0.0787
2.21
0.0342
Aug
0.169815
0.0788
2.16
0.0383
Sep
0.049253
0.0789
0.624
0.5368
Oct
0.006191
0.0791
0.078
0.9381
Nov
- 0.014249
0.0847
- 0.168
0.8675
a) What is the name for the kind of variable called Jan in this model?
b) Why is there no predictor variable for December?
c) Is there evidence of a cyclic component in these data?
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