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Posted: March 2nd, 2020
Cascade Prescribed drugs Agency developed the subsequent regression model, using time assortment information from the earlier 33 quarters, for one amongst its nonprescription chilly therapies: Y=-1.04+Zero.24X1-Zero.27X2 the place Y=quarterly product sales (in 1000’s of circumstances) of the chilly remedy, X1=Cascade’s quarterly selling (*$1000) for the chilly remedy, X2 = rivals’ selling for associated merchandise (*$10,000) Proper right here is further information regarding the regression model: sb1=Zero.032, sb2=Zero.07, R2 =Zero.64, se=1.63, F-statistic=31.402, Durbin-Watson (d) statistic=.4995
a. Which of the unbiased variables (if any) seem to be statistically necessary (on the .05 stage) in explaining product sales of the chilly remedy?
b. What amount of the whole variation in product sales is outlined by the regression equation?
c. Perform an F-test (on the .05 stage) of the overall explanatory power of the model.
d. How do the results in half (d) impact you options to parts (a), (b), and (c)?
e. What further statistical information (if any) would you uncover useful throughout the evaluation of this model? Economics homework help
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