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anonymous
 3 years ago
littile question on statistics, picture below
anonymous
 3 years ago
littile question on statistics, picture below

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anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0can you explain that?

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0yes let me see how I want to explain it

JamesJ
 3 years ago
Best ResponseYou've already chosen the best response.1The second part is asking you for the value of R^2. Sounds familiar?

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0ow ` I just have to square it ?

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0what if it asks The Buick Regal has a horsepower of 127. What is the predicted mileage for the Buick Regal?

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0i have to plug 127 into function?

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0what about this one Predicting the value of a response variable for an individual whose xvalue is out of our range of data is called

JamesJ
 3 years ago
Best ResponseYou've already chosen the best response.1Then you can still use the regression line to derive an predicted value for y, given the x. However, it is likely to be less reliable for an x outside the range of x in the original sample, particularly if it is a long way outside of that range.

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0so how should I answer this question ?

JamesJ
 3 years ago
Best ResponseYou've already chosen the best response.1I'm guessing just use your regression line if it asking you for an actual predicted y value

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0Im sorry, I dont get it

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0is it going to be extrapolation

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0I think it asking for definition of extrapolation

JamesJ
 3 years ago
Best ResponseYou've already chosen the best response.1Well, that's why you have a textbook. Look it up.

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0so, my last question is What is the residual for the Chevy Malibu?

JamesJ
 3 years ago
Best ResponseYou've already chosen the best response.1Residual is the difference between the predicted and actual value. So calculate the predicted value and compare it to the actual.

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0So, I have to plug 251 and 28 into fuction?

JamesJ
 3 years ago
Best ResponseYou've already chosen the best response.1No. You are predicting one variable in terms of the other, using the regression line. You are predicting the value of y, given x. You are predicting the value of mileage as a function of horsepower. That gives you the predicted value of mileage. The residual is then the difference between this predicted number and the actual mileage. These are fundamental concepts. I recommend you go back and reread your lecture notes and/or the chapter in your text book to make sure you have this straight.

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0I got the answer for that 2.1380

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0could you expalin this one?

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0Suppose we had instead measured mileage in kilometers per liter (1 m/g = 0.425 km/l). What would be the value of the correlation between X and Y?

phi
 3 years ago
Best ResponseYou've already chosen the best response.0to change from mile per gallon to km per liter you would multiply each mileage value by a conversion factor (a fixed number). call that number a. If you plug in that factor everywhere into your formula how does it change the final correlation ?

phi
 3 years ago
Best ResponseYou've already chosen the best response.0yes, it stays the same. But you can prove it to yourself.

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0but when I enter the answer 0.8651 . it says , it's wrong

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0now ,its right , thank you very much
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