Using test data on 43 vehicles, an analyst fitted a regression to predictCityMPG(miles per gallon in city driving) using as predictorsLength(length of car in inches),Width(width of car in inches), andWeight(weight of car in pounds).

R2	0.682
Adjusted R2	0.658		n	43
R	0.826		k	3
Std. Error	2.558		Dep. Var.	CityMPG

ANOVA table
Source	SS		df		MS		F		p-value
Regression		547.3722				3				182.4574				27.90				8.35E-10
Residual		255.0929				39				6.5408
		802.4651				42

Regression output	confidence interval
variables	Coefficients		Std. Error		t Stat		p-Value		Lower 95%		Upper 95%		VIF
Intercept	39.4492			8.1678			4.830			0.0000			22.9283			55.9701
Length (in)	0.0016			0.0454			0.035			0.9725			0.0934			0.0902			2.669
Width (in)	0.0463			0.1373			0.337			0.7379			0.3239			0.2314			2.552
Weight (lbs)	0.0043			0.0008			5.166			0.0000			0.0060			0.0026			2.836

(a)Referring to theF_statisticand itsp-value, what do you conclude about the overall fit of this model? The regression is (Click to select) significant insignificant based on theF_calcandp-value (b)Do you see evidence that some predictors were unhelpful?(You may select more than one answer. Single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer.) check all that apply

• Lengthunanswered
• Widthunanswered
• Weightunanswered

(c)Do you suspect that multi-colllinearity is a problem? multiple choice 2

• Yes

No