Complete the multiple regression model using Y and your combined X variables.  State the equation.  Next, make sure that you evaluate overall model performance with the Anova table result and Adjusted R2.  Analyze each independent variable. Check for assumption violations and multicollinearity and report on your results.

Identify the changes occurring when the independent variables are combined in your multiple regression model.  This could be completed by comparing independent variable performance in the simple regression (slope, inference, Adjusted R Square, standard error, etc) versus the explanatory performance of multiple regression model. You need to determine if this multivariate model improves your ability to explain/predict the dependent variable in comparison to the separate single variable models in step 2.

A model evaluation will require you to use your multiple regression equation to estimate Y for Census Tract 5 and Census Tract 805.04 in the dataset. You must find the applicable observed data in the assignment database and plug the values into the equation to calculate the estimate for the dependent variable. Once this is done, you will determine the residuals for these two tracts.  Briefly discuss the relevance of these residuals in terms of the variables included in your model.  (HINT: Discuss the results based on the location of the tracts as well as their characteristics.)

Posted Date: 3/13/2013 2:27:21 AM | Location : United States

Ask an Expert

Related Discussions:- Multiple regression analysis, Assignment Help, Ask Question on Multiple regression analysis, Get Answer, Expert's Help, Multiple regression analysis Discussions

Write discussion on Multiple regression analysis
Your posts are moderated

Write your message here..

Related Questions

Quality control, what is quality control what is quality control

Modelling and prediction of performance, case study in heat power engineeri... case study in heat power engineering

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

Ryan-joiner - normal probability plot, The Null Hypothesis - H0:  The rando... The Null Hypothesis - H0:  The random errors will be normally distributed The Alternative Hypothesis - H1:  The random errors are not normally distributed Reject H0: when P-v

What is the probability that they all hit the target, QUESTION ONE. (a) ... QUESTION ONE. (a) The probability that, a bomber hits a target on a bombing mission is 0.70 Three bombers are sent to bomb a particular target. (i) What is the probability

Pattie-lynns utility function, Pattie-Lynn's utility function for total as... Pattie-Lynn's utility function for total assets is, in which A represents total assets in thousands of dollars. (a) Graph Pattie-Lynn's utility function. How would y

Which average is to be used to describe statistical data?, There ar... There are situations where none of the three averages is fully satisfactory. For example, if the number of items in a series is very small, none of these av

Use event rule ot estimates the claim, Make a decision about the given clai... Make a decision about the given claim. Use only the rare event rule, and make subjective estimates to determine whether events are likely. For example, if the claim is that a coi

Fair game, defin fair game defin fair game

Types of cost-reimbursable contracts, Types of cost-reimbursable contracts ... Types of cost-reimbursable contracts are:   Cost Plus Fixed Fee contract (CPPF): Compensation is based on a fixed sum independent of the final project cost. The customer a