STATISTICS: 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, you measure their masses at two minute increments. Time (min) Amount of product(g) 2 3 6 5 7 7 8 10 10 13 12 17 14 21 16 26 18 34 20 50
a) What is the equation for the model of best fit? Would it be log y=-0.076x*log x-o.1148? Or yhat=8.846-2.42x? Those are what I got. b) What does your model predict would have been the amount present at 5 minutes? I have no idea how to do this one.. c) At what time would 25.1 grams remain, according to your model? 15? d) Are the products formed at a constant rate over time? Explain. How would I determine this?
Have you made a scatter plot yet?
I can tell you this much for (a) a line with a negative slope is not going to fit the data at all.
Yes, I have.
I'm sure you can tell from the shape of it that it's an exponential relation. Fit an exponential model to it and then sub in x=5 to answer part (b). Put that point on your scatter plot to see that it fits in with the rest.
How do I input that on my calculator (Ti-84)? Sorry, I feel so stupid >.>
Your guess of 15min. for part (c) makes sense. After you have your equation, you can probably tighten up the precision of that.
Eh, this stuff takes practice; don't sweat it. On the TI-84 input your data to L1 and L2 (STAT-EDIT) Then go to STAT-CALC and choose ExpReg L1,L2,Y1
(you can choose Y1 by going to VARS-YVARS-Function-y1)
I'm trying..
I don't think I got it right.. It says 2.428*1.164 r2=.980 r=.990
That's what I got too. You're just missing the exponent, x on the 1.164.
\[y=2.4285(1.1646)^x\]
for x=5, I got 5.2026
I got 5.2036, but there might be round-off error somewhere.
so that would be the answer to b?
Yes, but make sure you include the unit of grams depending on how you are to submit your answers.
thank you for explaining that to me :)
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