To increase attendance for a flower show, flower shops in the area offered discount coupons to their customers. Show attendance was higher this year, which the organizers attributed to the many discount coupons attendees used. However, the organizers are warned that weather could be a confounding variable in interpreting the rise in attendance. Which statement could explain the effect of confounding?

Because the weather was worse last year, fewer coupons were distributed compared to this year.
Because the weather was similar in both years, it most likely played no role in the attendance increase.
Because coupons were handed out this year and not last year, the weather was different this year compared to last year.
Because the weather was generally better this year compared to last year, the attendance may have increased.

The statement which could explain the effect of confounding is:

Because the weather was generally better this year compared to last year, the attendance may have increased.

Step-by-step explanation:

A confounding variable has some effect on the dependent variable.  Confounding variables are the variable(s) that are additional to the independent and dependent variables in an experiment.  Since the presence of confounding variables affect the variables being studied so that the results do not reflect the actual relationship, it is best to exclude or control them through randomization, restriction, and matching.

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