End of the party? Jan 8th 2014, 17:07 by K.N.C. http://www.economist.com/blogs/democracyinamerica/2014/01/american-politics
A survey from Gallup shows the astounding degree to which Americans are losing interest in classic party affiliations.We can represent the relationship in which years (Y) is the input value and Percent of Americans (P) is the out put value via the graph above.
This function is linear because the average amount of Americans that affiliate with an individual party passes the VLT.
This function is not a mathematical model because the output is not dependent on the input. However one can argue that it is a MM due to how over the years society has become not only more liberal (hence explaining the drop in republicans), but also very unique (people don't want to belong to a box of beliefs)
B.
5 Day Forecast of 20016
http://www.weather.com/weather/5-day/Washington+DC+20006:4:US
Today Jan 17
49°F
31°F
Sat Jan 18
35°
31°
Sun Jan 19
44°
32°
Mon Jan 20
50°
27°
Tue Jan 21
30°
20°
On a graph/ chart that will plot the five day forecast which will include the high and lows as out put (T) and the day as in put (D).
This would not be a function be cause there is two out puts (Hi and Lo Temp) for every Input (Days). Hence not passing the VLT
That is very interesting! I looked at the history of weather (averages and such) but I did not even think about daily highs and lows.
ReplyDeleteI like how you chose a relationship between party affiliations and time and think that the graph is very helpful. It really backs up what you explain below it.
ReplyDeleteI would think that the part a would be a mathematical model because each year has different candidates, and people might feel differently about a party if they absolutely hate the candidate.
ReplyDeleteIt's interesting to see how party identification has changed and shifted throughout the years.
ReplyDeleteYou graph and explanation are awesome! Great way to back up your explanation.
ReplyDeleteI really like it part A example. First time it looks like bit confusing but when I read your explanation, it does make sense!!
ReplyDeleteuche,
ReplyDeletevery nice job with the first example. you did a great job of identifying the inputs and outputs and explaining why the relationships constitute a function. note, however, that there are three separate functions displayed on the graph, not just one, so there is a relationship between time and republicans, time and democrats, and time and independents. otherwise, good job on this part!
in your second example, i can see how you perceive this as one relationship, but it is actually two relationships. you have the five day forecast low temperatures and you have the five day forecast high temperatures. if you graphed them you would have two separate line graphs representing two separate functions.
professor little
Your topic was really interesting. I was just wondering if part A is considered linear? Because while it is a function and passes the vertical line test, the rate of change is not constant?
ReplyDeleteI like your second topic. The weather is always a great example to use. The first topic is a little confusing but it does make sense.
ReplyDeleteI think that looking at the weather was a very different subject; especially because one input can have both a high and low output. Although two separate relationships, I thought that you came up with a good topic. :)
ReplyDelete