Additive colors

He swallowed detergent by mistake.

He drank detergent by mistake.

There is a detergent pocket.

You create a spray of detergent.

How much detergent does she have left?

So let's say you wanted to make detergent.

Gina had 2 3 cup of laundry detergent.

But if they're over additive or under additive, meaning they're interactive, they're moderating then it will be significant.

One of the features is that it's additive.

And that's the difference between problems that are additive,

So we are assuming that the effects are additive.

I got a rash on my hands from dishwasher detergent.

I got a rash on my hands from dishwasher detergent.

That's, in the additive, about 25 percent of our problem.

Well you have this great big tank full of liquid detergent.

Never use a diluted bleach solution or detergent to wash produce.

All we're doing is testing the additive effects of each predictor.

But what we're testing here, is for a non additive result.

And I don't accept subtractive models of love, only additive ones.

But for now we are assuming that the effects are strictly additive.

And I'll get you back to Tide, the detergent now, as I promised.

If the effects are just additive, then this third predictor won't be significant.

And makeup is an additive process. You have to build the face up.

Let's say you're Unilever and you want to make detergent in a factory near Liverpool.

She used 1 2 of the detergent on Friday to wash all of her sheets.

Being onscreen, we're talking about color being made with light, that being additive color.

She used a third of a cup of laundry detergent, and she has a third left.

The general linear model is this equation, it's assuming that all the predictors are additive, right?

Its value as a soil additive is unparalleled, and it can help plants resist harmful pathogens.

I've found that learning French and other languages is an additive process I find a new word,

Now we have two predictors, its X1 X2. Remember this is a linear model and its additive.

So if that product comes out to be significant, then we know we have something that's not additive.

And the reason we can do this is through an emerging technology called additive manufacturing, or 3D printing.

We can embed non additive effects, by creating interaction terms and we will do that in a couple lectures.

When we, get past the midterm and we go into mediation and moderation, we'll test other effects beyond this additive effects.

So, what I'm saying is happiness is 2.19 plus, remember the effects are all additive, We're dealing with the general linear model.

So, the slope for time is 1,382, but that's assuming an average number of publications, and it's assuming that the effects are additive.

And because its a log, its a relative measure of flux relative to some unit flux. In log that comes as a additive constant.

This is a fantastic article I came across in New York Magazine, where it was saying that drug users across America are actually purchasing drugs with bottles of Tide detergent.

Now, that changes the mean and or the standard deviation to potentially different values they call µ and σ and the changes either multiplicative, which would be the factor over here, or additive.

So if I was to ask you what the connection between a bottle of Tide detergent and sweat was, you'd probably think that's the easiest question that you're going to be asked in Edinburgh all week.

Now, for most of the problems we'll deal with, we'll make the Path Cost function be additive so that the cost of the path is just the sum of the costs of the individual steps.

And that data, layer by layer, gets passed through the machine, starting at the base of the product and depositing material, layer upon layer, infusing the new layer of materials to the old layer in an additive process.

And I started first with cow Achilles tendon, where we would take the cow Achilles tendon, which is type I collagen, strip it of its antigens by degrading it with an acid and detergent wash and forming it into a regeneration template.