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:
Every 30 years you'll have half left
After 30 years = 900 grams
after 60 years 450 grams
Step-by-step explanation:
A.
If you roll up the quarter circle and cap the open end with the smaller circle, the resulting shape should be a cone.
Answer: A- $5,250
B- $7,750
Answer:
17.5
Step-by-step explanation:
You have to find n right?
9+4n-79 = 0
-> 4n = 70
-> n = 17.5
