You run a linear regression on the data in the scatterplot. The residual plot shows a pattern, and 2 is low.
Which of these methods would likely result in a better model of the data?
A. Run a quadratic regression on the data and then linearize the data
B. Linearize the data by taking the log of the response variable, and
then run a linear regression.
C. Linearize the data by taking the log of the response variable, and
then run an exponential regression.
D. Linearize the data by taking the logs of both variables, and then
run a linear regression

the answer is b i just did that

step-by-step explanation:

you can first factor out the n to get n(1+5). we know that 1+5 is 6, so we just have 6n.

3

step-by-step explanation:

in standard form:

a= dictionaries

b= maps

you have to buy 3 dictionaries, so put a 3 next to the a (dictionaries) so that you can multiply them by each other.

a3+b= 60 (the amount of money you have)

we already know the cost of a=15 so replace a with $15

($15 x 3)+b=60

multiply 15 and 3 to get $45 and replace it with $45

45+b=60

and then replace b with 15 to get the total:

45+15=60

that means you have $15 left after buying 3 dictionaries.

15 divided by the cost of a map ($5) equals 3.

so you can buy 3 maps.

sorry if it was confusing!

answer: it's d

step-by-step explanation: