Saturday, September 14, 2013

Statistics

family Project 1 Statistics Course Project Course Project 2 For my last(a) project, I chose to analyze Choice#2: Bryant/Smith manual(a) crusade#28. This case involved me to use reversion outline to determine an equation that gave the merchandising price of a inhabitation based on the different vari compe tennert that had to be considered such as the size of the house (sq. ft.), add of bedrooms, number of bathrooms, image of heating, architectural style, garages, basements, age, fireplaces, and school districts located in the bea. In Case 28 I was given 106 different samples of these characteristics and the prices on with them. afterwards imputing the information into MegaStats regression analysis, using price as the dependent variable I have, I certain the bum hold of data to raise a form on how to beget the selling price of the houses. Given the ten variables the original saying I derived was: y = a + bx1 + cx2 + dx3 + ex4 + fx5 + gx6 + hx7 + ix8 + j x9 + kx10 In this model y = the selling price, a = the y-intercept, and b by j are the coefficients that belong with each variable. After analyzing the data I was able to eliminate four of the variables due to the feature that their p-value was greater than .01.
bestessaycheap.com is a professional essay writing service at which you can buy essays on any topics and disciplines! All custom essays are written by professional writers!
using the remaining 6 variables I derived my terminal model of: y = a + bx1 + cx2 + dx3 + ex4 + fx5 + gx6 + hx7 + ix8 + jx9 + kx10 y = a + bx1 + cx2 + ex4 + gx6 + hx7 + ix8 victimization my model and along with the MegaStat output I was able to create an equation for the selling prices of a house. The original equation forrader eliminating freelance variables is as follo ws: y = -15.2124 + 0.0376 x1 + 4.9237 x2 + ! -2.9115 x3 + -12.9097 x4 + 2.2877 x5 + 15.7593x6 + 9.0772 x7 + -1.0342 x8 + 5.3054 x9 + 4.6217 x10 Course Project 3 After analyzing the p-values of the independent variables I was able to eliminate x3 (BATHS), x5 (STYLE), x9 (FIRE), and x10 (SCHOOL) because their p-values are all greater than 0.1. (The independent variable names basis also be erect along with the attached...If you want to get a full essay, launch it on our website: BestEssayCheap.com

If you want to get a full essay, visit our page: cheap essay

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.