Regression model, Applied Statistics

Assignment Help:

A real estate agency collected the data shown below, where

          y  = sales price of a house (in thousands of dollars)

          x1 = home size (in hundreds of square feet)

          x2 = rating (an overall rating for the house expressed on a scale from   1 (worst) to 10 (best).

 

                             Sales Price (y)    Home Size (x1)        Rating (x2)    

                                    180.0                     23                           5

                                      98.1                      11                           2

                                    173.1                     20                           9

                                    136.5                     17                           3

                                    141.0                     15                           8

                                    165.9                     21                           4

                                    193.5                     24                           7

                                    127.8                     13                           6

                                    163.5                     19                           7

                                    172.5                     25                           2              

 

     The agency developed the following regression model:

                 y = βo + β1 x1 + β2 x2+ €

     a) Show why this may be a reasonable model for the relationship between the sales price and home size? 

     b) What factors are represented in the error term in this model?  Give a specific example of these factors.


Related Discussions:- Regression model

Median for ungrouped data, If the data set contains an odd number of items,...

If the data set contains an odd number of items, the middle item of the array is the median. If there is an even number of items, the median is the average of the two items. If the

Simple linear regression, We are interested in assessing the effects of tem...

We are interested in assessing the effects of temperature (low, medium, and high) and technical configuration on the amount of waste output for a manufacturing plant. Suppose that

Simple regression, Simple Regression: The Teacher Preparation Researc...

Simple Regression: The Teacher Preparation Research Team conducted a study of college students who took the Praxis II-a teacher certification examination. Some variables from

Compute the standard deviation, Let X, Y, and Z refer to the three random v...

Let X, Y, and Z refer to the three random variables. It is known that Var(X) = 4, Var(Y) = 9, and Var(Z) = 16. It is further known that E(X) = 1, E(Y) = 2, and E(Z) = 4. Furthermor

business forecasting, Explain the characteristics of business forecasting

Explain the characteristics of business forecasting.

Calculate the damping ratio for each system, (i) Plot the step responses of...

(i) Plot the step responses of the following second order systems and state the nature of each system. For each case, find the poles and plot the location of the poles in the compl

Risk of portfolios, Risk of Portfolios So far, we have seen the applic...

Risk of Portfolios So far, we have seen the application of standard deviation in the context of risk in single investment. But usually most investors hold portfolios of securi

Simple linear regression, For each of the following situations choose the s...

For each of the following situations choose the statistical model that you find to be the most appropriate. Justify your choice. a) We are interested in assessing the effects of

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd