Distance=rate times time
rate=xmiles per hour
time=y hours
total distance=distance1+distance2
distance1=45mph times 2=90mi
distance2=30mph times 3=90mi
total distance=90mi+90mi=180mi
total is 180mi
Answer:
27
Step-by-step explanation:
To evaluate f(8) substitute x = 8 into f(x)
f(8) = 
× 8² - (
× 8 + 3)
= × 64 - (2 + 3)
= 32 - 5
= 27
I think the correct answer would be B. If the residuals for brand A form an increasing curve, and the residuals for brand B form a U-shaped pattern, then neither of the data is likely to be linear. In order to be linear, the residuals of both data set should be, more or less, linear or approaching linearity in nature. Therefore, the linear regression that was done would not give good results since it is only applicable to linear data sets. Also, you can say that the relation of the data sets of the products are not linear. It would be best to do a curve fitting for both sets by using different functions like parabolic functions.
Answer:
36995.1474
Step-by-step explanation:
multiply the area value by 2.471
