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The Coefficient of Variation is an example of a noise to signalratio statistic? True or False?...

Question

The Coefficient of Variation is an example of a noise to signalratio statistic? True or False?

The Coefficient of Variation is an example of a noise to signal ratio statistic? True or False?



Answers

True or False A correlation coefficient gives an indication of how closely a regression line or curve fits a set of data. Justify your answer.

The correlation coefficient ship. All efficient. Which is also expensive test or is a measure all the strength of yeah, linear relationship ship quickly. So very of us. Mm hmm It's and what So if the value of are yes, very close to one all minus one. Then we can conclude that the Yeah, very of us. Yeah. Yeah. X and white. However strong mhm linear relationship we agreed that is look that when we say a strong linear relationship, it doesn't make that if we followed the corresponding X at Y pallas or not. Mhm coordinate lately. Mhm said these are the X and Y values we will get a line so is not required always. But if the coalition coefficients they lose is approaching one or minus one. Death Yeah, scattered not. All right will be such that they can they can just murdered by it like So the closer the value of our will be to the minus the minus one or one. The close at this point on the scattered floor will be to the line which is this line is called the line of best fit. No, if artists less than what, But greater than zero, then slow of the line of best faith. Yes, positive. That is the on the xy plane on the coordinate plane the line of this pig. Well, look like this which means for such cases it indicates that as yes increases why? Also increases. Sorry. Yeah. Artist Less than suit but couldn't than -1. Yeah. Then the uh probably look like this. And in such cases does slope all the lying off best eight mhm negative. And as you can see in such cases as it is increases mhm White increases only in a very special case if all the big soy and false or a single light then Are we will be 1-1. So are equal to one. Will be for this case when the live slope of the line is positive and are equal to minus only me. This case one the slope of the line is negative. So this is a very special case when all the eggs and white pair of shoes also on a single life. So it follows that the value of the coalition coefficient are will always leave less than what. But credit that -1. So the state point made here is who this is our awesome

In the given cushion we have toe determine whether the humanistic went, It's true or bulls. So l a dating the statement become that the correlation coefficient on is a number. Aim it is define is more is less than a great one or we can see they minus one is less than he could do. Pause, uh, is as than a credible but actually go or relation. Coefficient is a measure of the strength of the linear relationship that exists between bullets. Eight wings? No. Who was it that more? Does this school, the more perfect, not tedious, and giving a statement is.

A statistical hypothesis is a statement about a sample? No, A statistical hypothesis is a statement about the entire population. We are trying to check the statistics or estimate the parameter for the population. So this statement is false.

All right, Question 42. True or false? A 0.96 correlation coefficient indicates that a linear model is appropriate. Um, the simple answer to this is that that would be true. And the reason why is that the closer that prohibition, the correlation coefficient is 21 the more it's a perfect match. Okay, so the better the match. And this is extremely close to one. Uh, now just a little watch out thing. I don't know how tricky they wanna be about these problems, but you could get a correlation coefficients for lost different types of repression. What we're doing right here, Russian is what's called typically in this unit has been a linear regression. Okay, but many calculators are capable of doing quad regressions exponentially over regressions, and all of those have their own little our values to which also indicate whether or not the model is a good model or not So good model for the day today, But in so just be aware of that. But the general, I think the important part this is the closer that you're correlation coefficient is the one the better the match and 1096 is very close to one


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