Compute the correlation matrix of the predictors , Physics

The following data are measures of triceps skinfold thickness (X1), thigh circumference (X2), and midarm circumference (X3).  These three variables are used to predict percentage of body fat (Y). You can also find the data on beachboard (titled "bodyfat").

Subject        X1        X2        X3        Y

     1         19.5      43.1      29.1      11.9

     2         24.7      49.8      28.2      22.8

     3         30.7      51.9      37.0      18.7

     4         29.8      54.3      31.1      20.1

     5         19.1      42.2      30.9      12.9

     6         25.6      53.9      23.7      21.7

     7         31.4      58.5      27.6      27.1

     8         27.9      52.1      30.6      25.4

     9         22.1      49.9      23.2      21.3

    10         25.5      53.5      24.8      19.3

    11         31.1      56.6      30.0      25.4

    12         30.4      56.7      28.3      27.2

    13         18.7      46.5      23.0      11.7

    14         19.7      44.2      28.6      17.8

    15         14.6      42.7      21.3      12.8

    16         29.5      54.4      30.1      23.9

    17         27.7      55.3      25.7      22.6

    18         30.2      58.6      24.6      25.4

    19         22.7      48.2      27.1      14.8

    20         25.2      51.0      27.5      21.1

(a)  Compute the regression of Y on X1. 

(b)  Compute the regression of Y on X2.

(c)  Compute the regression of Y on X1, X2

(d)  Compute the regression of Y on X1, X2, X3

In each case, report the results in a brief APA results-style paragraph. For each individual predictor remember to report bs, standard error of each b (or confidence intervals), t-test; and for each overall model report F-test,df, and R2.

(e) Compute the correlation matrix of the predictors (X1-X3)

(f) Compute the tolerance (or VIF) of each predictor for the equation (d) which includes all 3 predictors.

(g) Examine the outlier statistics for the X-space, Y-space, and influence (including DFBETAS for each predictor).  Identify the highly discrepant observations, if any.

(h) Comment on what you have learned about this data set, particularly with regard to the three predictors, and interpret the results.

Posted Date: 3/1/2013 4:39:58 AM | Location : United States

Related Discussions:- Compute the correlation matrix of the predictors , Assignment Help, Ask Question on Compute the correlation matrix of the predictors , Get Answer, Expert's Help, Compute the correlation matrix of the predictors Discussions

Write discussion on Compute the correlation matrix of the predictors
Your posts are moderated
Related Questions
GYROSCOPES: PRINCIPLES Gyroscopes are rotating masses (usually cylindrical in form) which are deliberately employed because of the particular properties which they demonst

Cosmological redshift An effect where light emitted through a distant source seems redshifted due to the expansion of spacetime itself.

An electron is unrestricted from rest at a point in an evacuated region of space at which the electric potential is 5.0 volts. No force except the force of the electric field chara

Capacitor construction: FIXED CAPACITORS Fixed capacitors usually consist of sheets of metal foil between which is sandwiched the dielectric, or alternatively the metal, s

Avogadro's hypothesis (Count A. Avogadro; 1811) At the same temperature and pressure, equal volumes of all of the gases contain equal numbers of molecules. In fact, it is, only

What are polar molecules Polar molecules - molecules having of two or more atoms that are neutral but have a charge which is not distributed uniformly.

Plane and The Package Suppose a plane moving along with a constant speed at an elevated height above the Earth's surface. Within the course of its flight, the plane drops a pac

The P.D. at the feeder end of a two wire d.c. distributor is 600 volts. Two loads are connected to the distributor at distances of 600 feet and 1000 feet from the feeder end and t

Their conductivity lies between conductor and insulator. Their resistivity is usually high and temperature coefficient of resistance is always negative. These are materials which a

so we just started physics in grade 10, and i dont understand to much of it.. could you help me better understand it? and help me understand what i should expect?