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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.)
Correlation Analysis Correlation Analysis is performed to measure the degree of association between two variables. The measure is called coefficient of correlation. The coeffic
Geometric Mean is defined as the n th root of the product of numbers to be averaged. The geometric mean of numbers X 1 , X 2 , X 3 .....X n is given as
Cluster Sampling Here the population is divided into clusters or groups and then Random Sampling is done for each cluster. Cluster Sampling differs from Stratified Sampl
The tension, T, in the tow rope pulling the car in Newtons is given in P8. Determine the minimum length of the rope l, between A and B, so that the tension in either AB or AC equa
Andrews ‘Plots A graphical display of multivariate data in which an observation, x0 = [x1, x2, . . . , xq] is represented can be represented in the form of function A set
The box plot displays the diversity of data for the income; the data ranges from 20 being the minimum value and 1110 being the maximum value. The box plot is positively skewed at 4
Main stages of Statistical Inquiry The following are the various stages of a statistical inquiry (1) Planning the Inquiry: First of all we have to assess the problem und
You will recall the function pnorm() from lectures. Using this, or otherwise, Dteremine the probability of a standard Gaussian random variable exceeding 1.3. Using table(), or
As we stated above, we start factor analysis with principal component analysis, but we quickly diverge as we apply the a priori knowledge we brought to the problem. This knowled
The Case Study included information about the price for a full meal before and after the law change (in dollars). Of interest is whether the differences in price for a full meal b
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