SPSS Report

(e) Is there a significant relationship between the selling price and the assessed value of the house? Use 5 % level of significance.

John DeRight & Judy DeRight both members of the long standing DeRight family based in Arlington, Virginia are looking to diversify their portfolio of investments and are contemplating investing in real estate to achieve their investment goal. Both are in a different stages of their life and are considering one of the four real

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The mean time an American family lives in a particular single-family dwelling is 11.8 years. A sample of 100 families in the Sycamore, OK area shows the mean time living in a single family residence is 12.7 years. Can we conclude that the time people live in Sycamore is significantly more than the national average? One Sample Z-Test

Which city has a greater percentage of homes with real estate values between $55,000 and $85,000?

2. At 95% confidence, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from the West.

In a random sample of 70 rental properties, only 24% were rented to families. This is less than the target set by the government authority (35%) and a Binomial test shows that the difference is significant, n = 70, p = 0.037. The 95% confidence interval indicates that between 14% and 34% of Kayden rental properties are rented to families

Conclusion : Reject the null hypothesis. The sample provide enough evidence to support the claim that mean is significantly different from 12 .

My hypotheses for this study is Immigration does not have a strong correlation to violent crime rates. The null hypotheses for this study are: Immigrants have caused a strong impact on violent crime rates. When testing the null many factors will be tested. Telling my hypothesis and the null hypothesis, I will be testing many different factors. I will be testing the violent crime rates of Hispanics and their violent crime rates in the U.S. I will be looking for the areas with higher rates of Hispanics in order to test my hypothesis and null hypothesis.

This case involves an investigation of the factors that affect the sale price of Oceanside condominium units. It represents an extension of an analysis of the same data by Herman Kelting (1979). Although condo sale prices have increased dramatically over the past 20 years, the relationship between these factors and sale price remain about the same. Consequently, the data provide valuable insight into today’s condominium sales market.

This case investigates the factors that are affecting the sale price of Oceanside condominium units. The relationship between these factors and sale price has remained the same despite condo sale prices increasing drastically over the past 20 years.

In order to answer this question we first have to consider whether the value provided to the commercial and residential markets is the same. While it may look like the value is similar, upon closer inspection, we can identify an important distinction between the values provided to the two markets:

a) A recent article in Bangladesh Observer indicated that the mean selling price of the homes in the city of Dhaka is more than Tk. 2200. Can we conclude that the mean selling price in the Gulshan area is more than Tk. 2200? Use the 0.01 significance level. What is the P-value?

In this report, the question “How much of the changes in the median selling price of homes in a city can be explained by the changes in median income of that city?” is answered. Home ownership is an important aspect of one’s life stages, and home prices are determined by demand and supply. The demand curve is affected by the one’s income, such that as one’s income increases, one is more willing to pay a higher price for the same quantity of goods (Baye & Prince, 2014). However, there are many other factors that might affect the demand curve, e.g. no. of children, in the household, the perceived quality of education in the school district, or the number of job positions (filled or open) around the city. According to Burda

The difference in asking and selling price could be correlated with the number of days on the market and very similar reasoning as to why it is a weak variable. The seller will most likely not allow much difference in their asking and selling price because of the appraised value. Also, looking at the coefficients of these two variables, I can see that change in them do not impact the price very much. The number of bedrooms is not a significant characteristic because it is correlated with the square footage. It seems a little odd that the number of garages is insignificant. However, the mean number of garages for this data is above one, meaning the average house in Blowing Rock has at least one garage. With a garage being fairly standard amenity for homes in Blowing Rock I can understand it not being a very significant factor on the price compared to the other characteristics. Living in a subdivision is not significant for this town as well.