anonymous
  • anonymous
littile question on statistics, picture below
Mathematics
  • Stacey Warren - Expert brainly.com
Hey! We 've verified this expert answer for you, click below to unlock the details :)
SOLVED
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
katieb
  • katieb
I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!
anonymous
  • anonymous
1 Attachment
anonymous
  • anonymous
can you explain that?
anonymous
  • anonymous
its about statistics

Looking for something else?

Not the answer you are looking for? Search for more explanations.

More answers

anonymous
  • anonymous
yes let me see how I want to explain it
JamesJ
  • JamesJ
The second part is asking you for the value of R^2. Sounds familiar?
anonymous
  • anonymous
ow ` I just have to square it ?
anonymous
  • anonymous
what if it asks The Buick Regal has a horsepower of 127. What is the predicted mileage for the Buick Regal?
anonymous
  • anonymous
i have to plug 127 into function?
JamesJ
  • JamesJ
yes
anonymous
  • anonymous
what about this one Predicting the value of a response variable for an individual whose x-value is out of our range of data is called
JamesJ
  • JamesJ
Then 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
  • anonymous
so how should I answer this question ?
JamesJ
  • JamesJ
I'm guessing just use your regression line if it asking you for an actual predicted y value
anonymous
  • anonymous
Im sorry, I dont get it
anonymous
  • anonymous
is it going to be extrapolation
JamesJ
  • JamesJ
Yes
anonymous
  • anonymous
I think it asking for definition of extrapolation
JamesJ
  • JamesJ
Well, that's why you have a textbook. Look it up.
anonymous
  • anonymous
so, my last question is What is the residual for the Chevy Malibu?
JamesJ
  • JamesJ
Residual is the difference between the predicted and actual value. So calculate the predicted value and compare it to the actual.
anonymous
  • anonymous
So, I have to plug 251 and 28 into fuction?
JamesJ
  • JamesJ
No. 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 re-read your lecture notes and/or the chapter in your text book to make sure you have this straight.
anonymous
  • anonymous
ok , got it thanks
anonymous
  • anonymous
I got the answer for that -2.1380
anonymous
  • anonymous
could you expalin this one?
anonymous
  • anonymous
Suppose 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
  • phi
to 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 ?
anonymous
  • anonymous
satys same?
anonymous
  • anonymous
is it 0.8651 ?
phi
  • phi
yes, it stays the same. But you can prove it to yourself.
anonymous
  • anonymous
but when I enter the answer 0.8651 . it says , it's wrong
anonymous
  • anonymous
now ,its right , thank you very much

Looking for something else?

Not the answer you are looking for? Search for more explanations.