00:01
Hey there, welcome to numerate.
00:03
So we are working on the problem here that the local ice cream shop keeps track of how much ice cream they sell depending on the temperature on that day.
00:13
So these are the last 12 days and with the ice cream sales.
00:18
So all i can see here is the data table itself, ice cream sales versus temperature.
00:23
So as a reminder, please attach your question along with this data here.
00:28
So therefore i can work in it, you should attach the question.
00:30
Into the same submission, but this looks like a correlation coefficient problem.
00:35
So therefore, let's start by writing our correlation coefficient, pearson's r.
00:40
R equals the sum of products divided by the square root of the sum of squares of x times the sum of squares of y.
01:02
All right, so with this, we're going to have our equation.
01:08
So before we write the equation of the sum of squares and sum of products, we first have to find the means of both x and y.
01:16
X bar equals the sum of x divided by sample size, which is the 12 days, given us a mean of 18 .68.
01:31
Now for the y mean, it equals the sum of y divided by 12...