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anonymous
 one year ago
Assume that the following data was collected for a chemical reaction where reactants A and B are reacting to form products C and D. As the products are formed, we measure their masses. You will be graded on both the accuracy of your work and the quality of your written communication.
anonymous
 one year ago
Assume that the following data was collected for a chemical reaction where reactants A and B are reacting to form products C and D. As the products are formed, we measure their masses. You will be graded on both the accuracy of your work and the quality of your written communication.

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anonymous
 one year ago
Best ResponseYou've already chosen the best response.0a) What is the equation for the model of best fit? Illustrate your process carefully. Find out from your instructor how to submit your calculator screens. b) What does your model predict would have been the amount present at 5 minutes? c) At what time would 25.1 grams be produced, according to your model? d) Are the products formed at a constant rate over time? Explain.

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0All good m8 @undeadknight26

TheSmartOne
 one year ago
Best ResponseYou've already chosen the best response.0since you asked for QH help, let the QH's help @dan815 @nincompoop

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0@dan815 senior in high school

dan815
 one year ago
Best ResponseYou've already chosen the best response.1okay graph your points and u will see it has an exponential fit

dan815
 one year ago
Best ResponseYou've already chosen the best response.1okay you're going to think about your own ways to come up with what exponential curve you will use, so you can talk about how to arrived at it

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Hi @ganeshie8 can you be my savior?

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5I'm not so sure, do you mind sharing some more info, like, the course/module name and if you have any worked example problem that would really help!

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0It's AP stats and power models. I'm sorry I don't have an example at this time

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5Ahh then it is easy, have you plotted the given points ?

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5did you get the power model equation from ur calculator ?

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5we need that for part b, so please share the equation

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5what ever the equation is, for part b, you simply need to evaluate the function from part a at \(x=5\)

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Right I'm trying to figure the correct equation now. Unsure how to get it in proper form

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5Look at the scatter plot and decide on the model first : dw:1438329230945:dw

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5pick one of below two : dw:1438329385821:dw

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Exponential regression

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5good, work part \(a\) again, because your equation is way off the given data points

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0How do I even rework or find out the equation when I have no idea what a or b is

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5you have worked the part \(a\) already right ?

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5my calculator gives below equation for part \(a\) : \[y = 2.43*(1.16)^x\] you should also get something close to that

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5dw:1438330415594:dw

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Such a beautiful graph

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Yes! I can now calculate b c d Thank you @ganeshie8 I was able to finally able to get it and answer these questions with your help I have one more problem which is somewhat similar and has been

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0A somewhat similar problem that has been bothering me, do you have the time to assist if I start a new thread?

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5I'll try, you may ask it here..

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Many wildlife populations are monitored by taking aerial photographs. Information about the number of animals and their whereabouts is important to protecting certain species and to ensuring the safety of surrounding human populations. In addition, it is sometimes possible to monitor certain characteristics of the animals. The length of an alligator can be estimated quite accurately from aerial photographs or from a boat. However, the alligator's weight is much more difficult to determine. In the example below, data on the length (in inches) and weight (in pounds) of alligators captured in central Florida are given. Develop a model from which the weight of an alligator can be predicted from its length.

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5As usual, start by plotting the given data points and decide on which regression model to use

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5Notice that weight is dependent variable here, so it goes in y axis and length along x axis.

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0this also appears to be exponential regression

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5Yes, I think so.. my calculator gave this equation for exponential regression : \[y=3.8*(1.036)^x\]

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5From the model it seems the weight is increasing by \(3.6\%\) for every \(\text{one inch}\) increase in the length

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0Thank you very much for your help @ganeshie8 . Truly an experienced and kind math wizard! Appreciate your help so much!

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5np :) when you're free and if you're interested, check out this mooc course from coursera https://www.coursera.org/course/apstat it is free and might help with your preparation!

Astrophysics
 one year ago
Best ResponseYou've already chosen the best response.0ganeshie what program did you use for that graph, geogebra?

ganeshie8
 one year ago
Best ResponseYou've already chosen the best response.5Yes, it has this spreadsheet feature which is really cool for regression stuff http://prntscr.com/7z5iqp

Astrophysics
 one year ago
Best ResponseYou've already chosen the best response.0That's sick, thanks
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