AP Stats Help!!!

<p>Given a set of ordered pairs such that Sx = 3.2, Sy = 1.3, r=-.74, find the slope of the regression line of Y on X</p>

<p>a) -1.82
b) -3.08
c) -.301
d) 1.82
e) .301</p>

<p>Anyone know this???</p>

<p>-0.300625</p>

<p>so C</p>

<p>According to Barrons slope = r(sy/sx) where sy and sx are standard deviations</p>

<p>eww, harder one</p>

<p>Predictor Coef Stdev t-ratio P
Constant 64.9283 .5084 127.71 0
X 0.63497 0.0214 29.66 0</p>

<p>The regression equation is</p>

<p>a) y =.256 + 64.93x, r = .989
b) y = 64.93 + .256x, r=-.994
c) y = 64.93 + .63x, r=.989
d) y = .63 + 64.93x, r = -.994
e) y= 64.93 + .63x = .994</p>

<p>is that one too hard to read???</p>

<p>how about now</p>

<p>Predictor----Coef----Stdev----t-ratio----P
Constant--64.9283---5084-----127.71----0
X---------0.63497--0.0214-----29.66----0</p>

<p>The regression equation is</p>

<p>a) y =.256 + 64.93x, r = .989
b) y = 64.93 + .256x, r=-.994
c) y = 64.93 + .63x, r=.989
d) y = .63 + 64.93x, r = -.994
e) y= 64.93 + .63x = .994</p>

<p>ugh minitab format problems..h/o lemme look it up</p>

<p>i know i said i'd do my eng hw. i lied. xP</p>

<p>a is the number for constant, coef, b is the number for x, coef...so a=64.93 b=.63....b=rSy/Sx....</p>

<p>its either c or e. i don't know which number is Sx or Sy...</p>

<p>hey is this what stat is about? standard devs, correlation coef, regression lines....etc?</p>

<p>this is what 1 chapter of stats is about. i hate the chapter on designing experiments. there's also graphing chapter..modeling and log transformations...oo the section where they were teaching us how to draw scatterplots was annoying...and much more. -.-;;....i hate this class so much...but it's the only math class left for me to take this year T__T</p>

<p>we're currently on chapter 9 in my stats class, we are doing confidence intervals etc its so boring. our book is ancient, its the class they cared least to fund. what book do you guys use?</p>

<p>We dont use a book. The one book that there is, is on an 8th grade level. My teacher knows like everything, dr in math and physics, wanted to be a history teacher so he decided to learn the history of the future. We did experimenting, computing standard deviation w/ w/o calculator. Found a formula for that. Learned how to find the standard deviation of all numbers from 0 to 1. We did probability, and now we are on using venn diagrams and using the ti83 to represent the probability by using lists. Its a good class, and I have him for study so he shows me how to do other stuff.</p>

<p>im doing an online thing</p>

<p>i dont even have a textbook</p>

<p>its damn confusing...which is why ill probably be turning to CC for help every now and then.</p>

<p>what stats book are you guys using, if you are using one. my stats teacher is nuts...were using Devore/Peck AND David Moore's AND were reading a friggin statistics novel. We just finished probability and binomial stuff, moving on to sampling distributions/inferencing.</p>

<p>the answer is c...what is hard about it?</p>

<p>how did you figure out what r was, glucose101?</p>

<p>fructose > glucose ^^v okay end lame jokes</p>

<p>i use The Practice of Statistics by Yates Moore and Starnes...it has a picture of a pretty building with a weird model on top that looks like a fish.</p>

<p>r=-.74</p>

<p>The information was given in the problem.</p>

<p>hey glucose were you answering the first problem or the 2nd problem?</p>

<p>yea i agree 1st one was easy. i'm talking about the 2nd one though...</p>

<p>here it is...</p>

<p>Predictor----Coef----Stdev----t-ratio----P
Constant--64.9283---5084-----127.71----0
X---------0.63497--0.0214-----29.66----0</p>

<p>The regression equation is</p>

<p>a) y =.256 + 64.93x, r = .989
b) y = 64.93 + .256x, r=-.994
c) y = 64.93 + .63x, r=.989
d) y = .63 + 64.93x, r = -.994
e) y= 64.93 + .63x = .994</p>

<p>i've narrowed it down to either c or e...now r=?</p>

<p>Help me on this questiom:</p>

<p>Joey buys a Virginia lottery ticket every week. x is the number of times in a year that he wins a prize.</p>

<pre><code> Detetmine if this is a binomial distribution.
</code></pre>