You runa linear regression on the data in the table. The residual plot shows a pattern, and r is low.

Which of these methods would likely result in a better model of the data?
O A. Linearize the data by taking the log of the response variable, and
then run an exponential regression.
OB. Linearize the data by taking the logs of both variables, and then
run a linear regression.
OC. Run a quadratic regression on the data and then linearize the data.
OD. Linearize the data by taking the log of the response variable, and
then run a linear regression.

3,750 deer

step-by-step explanation:

1,500 is 15 times larger than 100

lets make 250 15 times larger.

3750 deer

step-by-step explanation:

let's assume

number of candles set =x

price of of x candles =p(x)

we are given

a candle maker prices one set of scented candles at $10 and sells an average of 200 sets each week

so, we get point as (200,10)

he finds that when he reduces the price by $1, he then sells 50 more candle sets each week

so, we can find slope

now, we can use point slope form of line

now, we can plug values

we can use point

and find b

now, we can plug it back

and we get

now, we can find revenue

we know that

revenue = price*quantity

so, we get