Perform a simple linear regression analysis, Applied Statistics

In New Jersey, banks have been charged with withdrawing from counties having a high percentage of minorities. To substantiate this charge, data is presented in the table below concerning the percentage, x, of minority population and the number of county residents, y, per bank in each of New Jersey's 21 counties.

                                           Percentage         Number of

                                           Of Minority        Residents Per

               County              Population, x      Bank Branch, y

              Atlantic                     23.3                     3,073

              Bergen                     13.0                     2.095

              Burlington                17.8                     2,905

              Camden                   23.4                     3,330

              Cape May                  7.3                     1,321

              Cumberland            26.5                     2,557

              Essex                       48.8                     3,474

              Gloucester               10.7                     3,068

              Hudson                    33.2                     3,683

              Hunterdon                 3.7                     1,998

              Mercer                      24.9                     2,607

              Middlesex                18.1                     3,154

              Monmouth               12.6                     2,609

              Morris                         8.2                     2,253

              Ocean                        4.7                     2,317

              Passaic                    28.1                     3,307

              Salem                       16.7                     2,511

              Somerset                 12.0                     2,333

              Sussex                       2.4                     2,568

              Union                       25.6                     3,048

              Warren                       2.8                     2,349

 

a) Perform a simple linear regression analysis of this data.

b) Determine if there is a significant relationship between x and y.

Posted Date: 3/8/2013 4:09:11 AM | Location : United States







Related Discussions:- Perform a simple linear regression analysis, Assignment Help, Ask Question on Perform a simple linear regression analysis, Get Answer, Expert's Help, Perform a simple linear regression analysis Discussions

Write discussion on Perform a simple linear regression analysis
Your posts are moderated
Related Questions
An approximation to the error of a Riemannian sum: where V g (a; b) is the total variation of g on [a, b] de ned by the sup over all partitions on [a, b], including (a; b

Show that the ISB in a bin containing the origin of the double exponen-tial density, f(x) = exp(-|x|)/2, is O(h 3 ); hence, the discontinuity in the derivative of f does not have a

As one of the oldest multivariate statistical methods of data reduction, Principal Component Analysis (PCA)simplifies a dataset by producing a small number of derived

Chi Square Test as a Distributional Goodness of Fit In day-to-day decision making managers often come across situations wherein they are in a state of dilemma about the applica

1. Assume the random vector (Trunk Space, Length, Turning diameter) of Japanese car is normally distributed and the unbiased estimators for its mean and variance are the truth. For

give me question on mean is the aimplest average to understand and easy to compute

The displacement of a simply supported beam subject to a uniform load is given by the solution of the following differential equation (for small displacements); and q is th

Consider three stocks A, B and C costing $100 each. The annual returns on the three stocks have mean $5 and variance $10. a. Suppose that the returns on the three stocks are i.i

velocity of a particle which moves along the s-axis is given by v=2-4t+5t then find position velocity,acceleration

practical application of standard error