SPSS part 3

MP 3

Rakan, Sami Ahmad

October 10, 2019

Introduction:

One of the most affective application of statistics is describing data using descriptive

statistics and regression. Descriptive is the kind of statics analysis which serves to depict about

the data in sorted manner. The measurements is utilized to portray quantitatively about the

significant highlights of the data. These rundowns or portrayals can either be graphical or

quantitative. (Walpole, 1982). For instance the dataset of the 50 colleges/universities, the data is

retrieved from the https://collegescorecard.ed.gov.

Before discussed father the data has following variables.

Variables

College enrollment (Y)

X1 = Average Annual Cost

X2 = average salary

X3 = a dummy variable

X4=Graduation Rate

X5=Students Paying Down Their Debt

X6=Students Who Return After Their First

Year

X7=Size

X8=Average Years to Graduation

X9=Ratings of the college

The descriptive summer of the data is give below:

In the multiple regression output we see that all others variable are insufficient except Average

Annual Cost.

So the regression between College enrollment and Average Annual Cost is given below:

The R-squared (R2) is a statistical measure that represents the proportion of the variance for a

dependent variable that's explained by an independent variable or variables in a regression

model. For this model the R square is 0.072 which indicates that there is 7% variance for College

enrollment variable that's explained by an Average Annual Cost.

References

Walpole, R. (1982). Introduction to Statistics. (3rd ed.). Prentice Hall Publication.

Downie, N. M. & Heath, R. W. (1965). Basic Statistical Methods (2nd ed.). Harper & Row

Publisher

Reid, H. (2013, August). Introduction to Statistics. SAGE Publication.