00:01
Okay, we're working on number 15 here.
00:03
Number 15 asks us to do a couple of five things, a, b, c, d, and e, all having to do with this large chart of information we have on cable television.
00:13
It looks like it is the year and then the monthly bill in dollars.
00:19
Okay, so the first thing we ask us to do is to take this information and enter it into central graphic utility.
00:25
So you can see the scatter plot.
00:27
Let's go ahead and just do that really quick.
00:28
I've got the information there.
00:32
And i have entered it already.
00:34
I'm going to go ahead and do before we take a look at it.
00:36
I'll go ahead and do the linear regression on that, just to save a minute here.
00:41
I'm linking it here to the linear regression module.
00:45
Then i'm using c1 for the x values, c2 for the y values.
00:50
And then i'm storing that in y1.
00:52
That way it'll be there for us when we graph.
00:54
Okay, so go ahead and all that.
00:58
Here's our numbers.
00:59
This is the a and the b in this, that corresponds to the slope and b corresponds to the y intercept.
01:06
And we've also got a correlation.
01:08
Let's write that down because that's what c asks specifically.
01:10
So 0 .995 .0 .995.
01:18
0 .995.
01:23
Okay.
01:25
Let's go ahead and write down a equation for that.
01:29
Coming off of this information right here, we've got 1 .552 approximately.
01:36
And then about 1 .57, right there.
01:39
And we can use that to build our equation.
01:45
I'm going to go ahead and write down c, since that's what we're talking about as far as a variable in the equation, is equal to 1 .552.
01:55
T, because this is time, where zero corresponds in 1990, then plus that y intercept, which is 15 .7, rounded.
02:09
Okay, so then if you look at part d, it says, oh, no, part c says graph the model and just take a look at it.
02:16
So we need to make sure we know how to do that.
02:18
I went ahead and had to enter it into the y1.
02:21
So really i can just say okay on this.
02:23
And then i can do the graphing function and just do graph.
02:28
Now in order to see it, we're going to have to zoom.
02:30
And zooming is sometimes difficult.
02:32
There's eight, but it's also nine down here.
02:35
And also there's 10 zoom fit.
02:36
Both of those work fairly well.
02:39
It'll kind of auto zoom to our data.
02:41
And does that fit very well? it fits pretty well.
02:44
And remember this is an approximation, so it doesn't have to be perfect.
02:47
It really doesn't...