Top line

If true, the Time InfoBox will show only its top line of data.

If true, the Focus InfoBox will show only its top line of data.

Top line is revenue.

If true, the Geographic Location InfoBox will show only its top line of data.

Deal in top of the line of goods.

It's the top line of the income statement.

The positive square root is the top line.

Maybe fit a straight line to this data.

Overseas subsidiaries are putting out top of the line products.

He's like, Good stuff, man. Columbian. Top of the line.

Now let's split this top surface with the line tool.

Even with top of the line crypto, Stu 3's...

When people talk about top line and bottom line, now you know where those words come from.

You see the dark line on the side and the top.

It would, of course, be a horizontal line along the top.

See that line on the very top with the little dots?

And the sign for conjugate is that line over the top.

So think about the data from a crisis text line.

linear regression for fitting a straight line to our data.

This line over here is linear regression to the data.

Let's look at more data, which line would you pick?

That's my next line. Well we're going to read data.

Five megawatt, top of the line Siemens wind mill, takes 10 acres.

So the top line here says the P value that you see.

This top line the import statement is a lot like Import RE.

All I did was I took, you know, these, my data set on top and I just mapped it down. To this real line like so.

So this might be the data and we're looking for the best line that fits the data.

While operating profit, you start at the top line and you go down.

The straight line of points along the top represents all the prime numbers.

line on top, and I would just say, 'AB' is equal to 2.

line is just not a very good model for this data set.

That last downward notch in the red line is not actual data.

That tells us how far the data is described by a line.

That is, can you fit a line through the scatter plot data?

Before drawing the line, hover over the top edge and find the midpoint inference.

Then linear regression tries to fit a line that best describes the data.

Obviously, it's impossible to put a line through the data points over here.

So that the straight line we get out of this corresponds to a straight line that somehow fits the data well.

Modern desktops around that time running at 33 hertz were considered top of the line.

Now this line is really not such a good fit to the data, right.

If you look at what happened this little black line is as fast as man ever flew, and the red line is top of the line military fighters and the blue line is commercial air transport.

Data, data, data...

A state of the art, top of the line, must be fitted to your face mask?

Bing! That's data. Data, data, data.