eric plotted the graph below to show the relationship between the temperature of his city and the number of cups of lemonade he sold daily: part a: describe the relationship between the temperature of the city and the number of cups of lemonade sold part b: describe how you can make the line of the best fit. write the approximate slope and y-intercept of the line of best fit. show your work, including the points that you use to calculate the slope and y-intercept.

part A: the warmer the city temp was the more lemonade that was sold so a hotter day will sell more lemonade

part B: i used points 40,8 and 90,20 and got m= 25/6 then i did y=mx+b

90=25/6(1)+b

90/1=25/6+b

25/6   25/6

and then B= 21.6

Step-by-step explanation: im not sure if i did it right so i would check i havent done this since like the 6th grade like 4 years or so ago lol

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;