Match each data set with the expected correlation type. 1. number of miles driven versus the amount of gas in car 2. length of time spent out of town versus cost of the plane ticket 3. size of house in Miami versus cost to run the air conditioner 4. number of calories consumed versus height a. no correlation b. strong positive c. strong negative d. weak positive Hi. I'm new to Open-study. Beforehand I just wanna say thanks for helping. I would greatly appreciate it if someone could help me out on this question. I think I have an idea of what the answers are though. Thanks!
Please Help Meh!
I give you all the medal's!
I actually haven't done much statistics, but using what I know, I will let you know what I think and maybe bounce it off you. 1) I think this would be strong negative. As distance goes up, amount of gas goes down. 3) I think this one is strong positive. As the volume of your home increases so does the cost. 2) and 4) I'm not completely sure on. Is there a correlation between time spent out of town and cost of ticket? I've never taken a plane lmao. I would assume there wouldn't be... why would that matter. And I'm pretty sure if I eat more calories in one day my height will not increase. Maybe there is a correlation between height and calories in infants or something though idk. So basically I'd trust your own judgment on these ones. One of them is most likely obviously no correlation.
Thanks so much! This is similar to what I was thinking. Just glad to know that I'm not the only one confused on number 3 and 4. Thanks! I think I can manage now. :3
Yeah no problem! Sometimes questions like this can be hard because you don't know the implied facts behind it! Doesn't mean you don't understand it though!
Yeah! Thanks so much though! :3 Bye
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