<p>I thought the only MCs are X1-X2, X1+X2 one, the power of the test one and the confidence level one</p>
<p>@kobe24 @snoogleki can you still check ap scores via telephone?</p>
<p>@XCBro4Life i don’t think so. </p>
<p>XCBro4Life, I’m almost 100% sure that the answer to that FRQ was engine size, not wheelbase. Knowing multiple regression myself( learned it independently for an internship ) one of the ways to tell if a variable should be in a multiple regression is checking its influence on the residuals, which is that exact problem. </p>
<p>@XCBro4Life If it makes you feel any better, my teacher and a good chunk of my class said it was graph III, wheelbase as well. However, I’m still convinced that it’s graph II, engine size.</p>
<p>I see that many people think it would have been wheelbase because they know that in a normal residual plot, that is [residual vs original explanatory variable] the residuals should be scattered to show that, say, a higher explanatory variable doesn’t lead to a higher residual. That situation would lead one to believe that the relationship is not linear, but possibly quadratic or something of the sort. Here, however the graphs are the residuals of the original [response vs explanatory variable] PLOTTED AGAINST A DIFFERENT EXPLANATORY VARIABLE. (I mean to emphasize, not yell). Thus, here we are looking for the one that does in fact show a relationship, because Jamal is looking for another variable that could influence FCR. Engine size in addition to length clearly influences FCR because, according to graph II, the higher the engine size, the “more-greater” that particular car’s residual, which is it’s actual FCR is in relation to its predicted FCR. </p>
<p>It’s killing me that the answers won’t be released for a while, but personally, I’m team engine size.</p>
<p>My Statistics teacher said that its Graph II but I put Graph III :(</p>
<p>Please somebody i have mc qs. That question asking for the H0 and Ha of … a test that tests for if data doubles more than 2 times as much …</p>
<p>4 4 me</p>
<p>4 tambien</p>
<p>omg, 2 4s , we better run a chi squared test to see if it’s a fluke :P</p>
<p>curse you stats AP!</p>
<p>i had a streak going here :(( </p>
<p>Really thought I was going to get a 2, but I ended up with a 4!! 
</p>
<p>I got a 5!! I made several silly mistakes (chose the wrong plan, used independent instead of dependent) on the FRQ’s but I still pulled out a 5! </p>
<p>I got a 5…</p>
<p>I only did part A of #6, got #2 completely wrong, and left a part of #3 blank.</p>
<p>I’m in awe. Good thing I called that hypothesis test correctly on #5…</p>
<p>Self-studied for this and got a 4. Beyond proud. </p>
<p>Got a 5 
still don’t know which test it was… I don’t even remember if I wrote 2-Sample T or Paired T. All in the past now!</p>
<p>@ambitious98 it’s a matched pairs t-test, but good job though!</p>
<p>5! matched pairs yo</p>
<p>@therepublic10 thank you!!! And I believe that’s what I wrote since they gave a table of differences 
kind of want to see my exam again now! Thanks again! </p>