00:01
So on question two, we have our data.
00:03
And i have the x values on this axis, the y on this.
00:07
And it says to construct a scatter plot.
00:11
And i'm just showing what my view is on my calculator.
00:13
I have a ti -84.
00:16
And when we look at this, we do see that there is a trend here, here that it almost looks like there are two lines.
00:31
There's an upper value and a lower value.
00:34
So if we go through and compute the correlation coefficient, and i have my stat calculate that linear regression on those two lists, the sample correlation coefficient only comes out to be 0 .349 and so it would be hard so it is there is a positive association but not really strong it's difficult to predict y from x now on your third question on your third question it says that the global engineers hired the following number of class 1 engineers during the first six months and we have data there for hiring class 1 engineers over january through june and it says is this a time series a cross -sectional or latitude and then it says motivate so we know that the time series are going to be data collected sequentially over time, which is what that is.
02:01
Cross -sectional data is where we collect at a single point in time and longitudinal is going to be collected over multiple periods.
02:09
So this would definitely be a time series.
02:19
Now for your data, the next thing you want to do is find the mean, median, and mode for the data.
02:27
And i can see your january data, your february data, your march data, april, may however the june data is cut off so i don't know what that value is so when you have to determine the mean you will want to sum up all these values i'll just call this value x and so we have 5 9 11 17 so so far we have 17 plus whatever that x is and if you're finding the mean number hired per month then then that would be divided by 6, and that would give you your x -bar...