Step-by-step explanation:
The solution to this problem requires that we find other units besides the given one
1. ft/sec
2. km/h
3.m/s
1. converting to ft/sec
1 mile is 5280 ft
2. converting to km/h
1 mile is 1.60934
3. converting to m/s
1 mile is 1609.34
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.
I think the answer would be negative 3
Answer:
6 times 10^3
Step-by-step explanation:
You multiply 3 and 2 together and 10^7 and 10^-4 together. 3x2 is equal to 6 and 10^7 times 10^-4 is the same as 10^7-4 which is equal to 10^3. Therefore, the answer is 6 times 10^3.
If this has helped please mark as brainliest
10 is the missing number.
