Brand & Model	Price	Quality	Score
Landice L7	2175	Excellent	88
NordicTrack S3000	2625	Very good	87
True Z4 HRC	1725	Excellent	83
Vision Fitness T9500	1500	Excellent	83
Precor M 9.31	2250	Excellent	89
Vision Fitness T9200	975	Very good	80
Star Trac TR901	2400	Excellent	74
Trimline T350HR	1200	Very good	74
Schwinn 820p	975	Very good	71
Bowflex 7-Series	1125	Excellent	85
NordicTrack S1900	1950	Excellent	85
Evo Fitness FX30	1275	Very good	77
ProForm 1000S	1200	Very good	73
Horizon Fitness 4.5	750	Good	72
NordicTrack C2300	750	Good	68
Spirit Inspire	1050	Good	68
ProForm 750	750	Good	65

Let "Excellent" be a binary variable equal to 1 if the quality rating is excellent, 0 otherwise.

Let "VeryGood" be another binary variable equal to 1 if the quality rating is very good, 0 otherwise.

Develop a multiple regression model to predict the overall score given the price and the quality ratings. (Use 4 decimals in your answers.)

Score = + Price + Excellent + VeryGood

Is "Price" variable significant at alpha=0.10? Enter yes or no:

Is "Excellent" variable significant at alpha=0.10? Enter yes or no:

Is "VeryGood" variable significant at alpha=0.10? Enter yes or no:

Take the insignificant variable out. Run the model with the remaining variables.

What is the adjusted coefficient of determination of the updated model?