Tuesday, June 12, 2012
Monday, June 11, 2012
Ch3 Project Voice Thread Link by Thanh, Min Ying and Lan: Future Value of Annuity
Friday, June 8, 2012
According to zillow.com, the property taxes of my grandparent's house is $4,778 as of June,2011. The tax was $4,524 when my family moved in during October 2008.
- To find the model, you go to STAT ---> EDIT---> Plug in X & Y values. The X values would be from 2004-2011 but I type in #1-8 represent years. The Y values would be the property taxes. Then I found Quart Reg fits the best after I tried all four Reg ( Linear, Quad, Cubic, Quart) because R^2 is closet to 1.
- My house property taxes will not be $100,000 because the maximum in $4,800.
- The prediction can be changed if the value of the house increases.
The equation is 1.38x^4-24.588x^3+121.630x^2-107.510x+270.720.
In the future, the house will never drop to 100,000 because the minimum value is $114,500.
The prediction can change if the economy drops even further, which means houses may go down in price.
Thursday, June 7, 2012
From the data that we get from Zillow.com, I find out that the house I live in worth 546,000 at Jun, 2004. To find the best fit model to predict the price of the house at certain time period. So I put all my data into the calculator by pushing STATS and punching in the numbers, then I press STATS again to try out the buttons that make the best formula, like linear regression, Quadratic regression, Cubic regression, Quartic regression, and I found out that Cubic regression is the best fit equation because r^2 = .9427, so this is the only equation that is closest to 1. So the equation is 1.55x^3 + -33.4x^2 +189.82x + 246.6 . In the future, this house will never drop to 100,000 dollars because the minimum value is 357.23k. This equation can be change when the government change or tax change , and other factors.
I then used my calculator to find a linear regression formula to calculate how long or when my house will reach a certain price and I learned that in 2017, my house can reach $100,000. Some ways that can change my prediction would be if this community becomes richer and safer, the price of the house would definitely increase.
itled.png" imageanchor="1" style=""> href="http://4.bp.blogspot.com/-8P8UokR7-F8/T9GJReWLQII/AAAAAAAAAEQ/QmoFKQuJ1gw/s1600/Unt According to Zillow, the house my family and I moved into was worth $509,000 during the year 2004. I used my calculator to find the model by entering my X and Y values into the STATS table. My X are the years and my Y are the value of the house. My linear regression equation is y=54466.4+-26.72x with the Rate of .5319350662. My house will reach the value of $100,000 until the year 2023. The yearly depreciation of the house is $17,000. Some things that could happen that could change the value is the increase in violence or the amount of people moving in and out of the neighborhood.
Zillow.com explains that the house I currently live in is worth $225,100. In 1996, when we moved in it was worth about $484,000. To find the graph I used X for the number of years and Y for the value. Then I used the quartic regression, because r2 =0.96 which was the closest compared to other regression models. The quartic regression is y= 435.17x4-3491771.47x3+1.05x2-7.04, the house could reach a value of $100,000 in 2027. The value of the house could change depending on various factors, such as the color of the paint the other houses in the neighborhood has.
Zillow.com has shown that my house $513k when we moved in on May, 2010. The price of it now (June 2012) is worth around $420k. To find what kind of regression model I used for the that, I plugged the X and Y values into the stats table. Then I clicked Stat > Calc > Lin Reg / Quad Reg / Cubic Reg / Cubic Reg. Then I entered one of those regression and clicked Y1 and Y2 and entered again. Then i can see the numbers for each regression. To see which model was best, I chose the one that was closest to 1 for R^2 and it was the Quartic Regression, so I chose that as my equation.
My house value cannot reach $100k as the minimum house price was $379k.My prediction can be changed if prices need to be dropped so it becomes more affordable to the general population.
The Quartic Regression if got from my data is y = 0.4659x^4 - 10.42094x^3 + 63.9653x^2 - 69.3296 + 353.4242.
My house's value will never reach $100,000 because the minimum value of my house is $275,950 and my prediction can be changed if my neighborhood starts to improve and the prices of nearby houses rise so my house would probably rise along with them.
Using the information from zillow.com, the house I live in is now worth $282,000 when I first moved in at March, 2012 . To find the model, I type in #1-10 which represent years 2002-2011; then I put the past values from 2002 through 2011 in thousands of dollars as Y. Next, i tried all four regression models(Linear, Quadratic, Cubic, Quartic) to see which model fits the best, and it turns out that Quartic regression is most accurate because the r^2 is 0.9466850693, which is closer to 1 out of the other three. My Quartic regression equation is: y= .7152x^4 + -15.47^3 + 98.25x^2 + -165.46x + 393.75. This house will never reach the value of $100,000 because the minimum value is $247,000.
The prediction of the quartic model can change if the economy, neighborhood, or conditions of the house are bad. This would to lead to downfall in prices.
According to the data provided in zillow the house that I moved into in 2002 was worth $230,000. To find the model you go to stat then edit then plug in your x values and your y values. The x values would be from 2002-2011 then the y values are from $230,000-$533,000. The quadratic regression was the best because the R was closer to 1. The quadratic regression model was Y = .47115384615439x^4+ -3779.3265345809x^3+11368322.761959x^2+-15198295709.015x+7619451108445.9. The house that I live in will never be worth 100,000 because the minimum value is 230,000. A factor that can affect the value of my house would be if more people move into the area or if there is another recession.
Wednesday, June 6, 2012
According to the data provided from Zillow, the house I reside now has the worth of $499,000 when I moved in during October of 2011. To be able to find the model, I'll first have to enter it on the STATS table. My x is years: 2003-2012, while my y is the value of the house: $358K-$467K. My linear regression equation is: y=-2.193.939394x+4840533.333. R=.0809874044. My house would not reach the value of $100K until 2,161 years. I moved to my house for nearly only a year, and the yearly appreciation would be $32,000. If more people moved to my neighborhood, then the house prices/value would possibly decrease.