Comp Sci Linear regression doubling time

AI Thread Summary
The discussion focuses on calculating doubling time using a linear regression model expressed as y=mx+c, with specific values for m and c derived from data points. The formula for doubling time is established through logarithmic equations, with a key transformation involving log scales. Participants clarify the correct interpretation of the slope and the nature of the graph, distinguishing between semilog and log-log representations. There is also a debate about whether the constant c should be expressed as 2.5 or 10^2.5. Overall, the conversation emphasizes the mathematical relationships in the context of linear regression and logarithmic scaling.
yecko
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Homework Statement
see image
Relevant Equations
y=mx+c
1619617808719.png

nielsen-law-bandwidth-growth-1983-2019.png

y=mx+c
by z=log y axis
m=9-2.5 / 35 = 13/70
z=13/70 * (t-1983) + 2.5
log y = 13/70 * (t-1983) + 2.5 #

doubling time: t1=y1, t2=y2=2y1
log y1 = 13/70 * (t1-1983) + 2.5 ---{1}
log (2*y1) = 13/70 * (t2-1983) + 2.5 ---{2}
{2}-{1}: log2=13/70 * [(t2)-(t1)]
[(t2)-(t1)] = log2/(13/70) #

for log scale, can I log only y axis? for the constant c, is it 2.5 or 10^2.5?
is the doubling time calculated by simultaneous equation like my attempt?

Thank you.
 
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yecko said:
y=mx+c
by z=log y axis
m=9-2.5 / 35 = 13/70
z=13/70 * (t-1983) + 2.5
log y = 13/70 * (t-1983) + 2.5 #
You are leaving us guessing what you did. A straight line would be ##\ \log_{10} y = m x + c \ ## or ## y = 10^{c} \; \left (10^{x} \right )^m ##

##m=9-2.5 / 35 \ne 13/70 \ \ ## but ## \ \ m= (9-2.5) / 35 = 13/70 ##

And yes, in 70 years ##\log_{10} ## increases by 13 (actually: a little less !), so y becomes a factor 1013 bigger.

Doubling time is when ##\ \ 13/70 * t = \log_{10} 2 \ \ ##. I wouldn't call that solving simultaneous equations...

yecko said:
for log scale, can I log only y axis?
What do you mean ? The verb logging means something else 13
 
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yecko said:
for log scale, can I log only y axis?
A graph can be semilog, such as log y vs x, or log-log, such as log y vs log x. The graph you showed is semilog, with t on the horizontal axis, and log(bits per sec) on the vertical axis.

Is that what you're asking?
 
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