Define the term multicollinearity, Applied Statistics

Assignment Help:

Question:

(a)
(i) Define the term multicollinearity.

(ii) Explain why it is important to guard against multicollinearity.

(b) (i) Sometimes we encounter missing values in databases with a large number of fields. A common method of handling missing values is simply to omit from the analysis the records or fields with missing values. Explain why this may be dangerous.

(ii) Data analysts have turned to methods that would replace the missing value with a value substituted according to various criteria. Briefly give a choice of three possible replacement values for missing data.

(c) Variables tend to have ranges that vary greatly from each other. Data miners should normalise the numerical variables to standardise the scale of effect each variable has on the results. Name two techniques for normalisation and differentiate between each one of them.

(d) The usual measure used to evaluate estimation and prediction models is the mean square error (MSE). Write down the expression for the MSE.

(e) (i) Explain briefly the term measures of variability.
(ii) Give four examples of typical measures of variability.


Related Discussions:- Define the term multicollinearity

A new weight-watching company, A new weight-watching company, Weight Reduce...

A new weight-watching company, Weight Reducers International, advertises that those who join will lose, on the average, 10 pounds the first two weeks with a standard deviation of 2

Cluster sampling, Cluster Sampling This method is also known as multi s...

Cluster Sampling This method is also known as multi stage sampling .Under this method random selection is made of the ultimate or final units from a given stratum. The sampling

Large sample test for proportion, Large Sample Test for Proportion A ra...

Large Sample Test for Proportion A random sample of size n (n > 30) has a sample proportion p of members possessing a certain attribute (success). To test the hypothesis that t

Agreement, Agreement The degree to which different observers, raters or ...

Agreement The degree to which different observers, raters or diagnostic the tests agree on the binary classification. Measures of agreement like that of the kappa coefficient qu

Perform clustering of the unlabeled data set, Perform clustering of the unl...

Perform clustering of the unlabeled data set. You could use provided initial centroids set or generate your own. Also there could be considered next stopping criteria : - maxim

Determine the optimal order size, The Truly Canadian Restaurant stocks a pr...

The Truly Canadian Restaurant stocks a private red table wine that it purchases from a local winery in the Niagara Falls region. The daily demand for the wine at the restaurant is

What are the hypotheses, Assume that a simple random sample has been select...

Assume that a simple random sample has been selected from a normally distribute population and test the given claim. Identify the null and alternative hypotheses, test statistic,

Graphical calculation for mode, For calculating the mode of the grouped dat...

For calculating the mode of the grouped data graphically, the following procedure is adopted. Draw a histogram of the data; the modal class is the tallest rectangle.

Stratified sampling, Stratified Sampling Stratified Sampling is ...

Stratified Sampling Stratified Sampling is generally used when the population is heterogeneous. In this case, the population is first subdivided into several parts (or s

Artificial neural network, Normal 0 false false false E...

Normal 0 false false false EN-US X-NONE X-NONE

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