Carley owns an ice cream stand. She wants to predict how many ice cream cones she will sell as a function of the average daily high temperature each month. The data for the past 777 months is shown in the table below. Jan Feb Mar Apr May Jun Jul Cones sold 000 000 303030 616161 118118118 426426426 485485485 Average high temp. (degrees Celsius) 1.01.01, point, 0 3.03.03, point, 0 7.37.37, point, 3 14.314.314, point, 3 21.221.221, point, 2 26.126.126, point, 1 28.628.628, point, 6 All of the scatter plots below display the data correctly, but which one of them displays the data best? By convention, a good scatter plot uses a reasonable scale on both axes and puts the explanatory variable on the xxx-axis.

wheres graph

step-by-step explanation:

to have more of what you want like money

step-by-step explanation:

save it by not spending on unnecessary stuff and have more

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;

answer: y=0 if that is what u r looking for