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Statistics also play an important part in the tools and techniques of change management. Therefore, in this assignment, you will continuing to explore SPSS.
Statistics also play an important part in the tools and techniques of change management. Therefore, in this assignment, you will continuing to explore SPSS.
General Requirements:
Use the following information to ensure successful completion of the assignment:
- Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.
- Locate SPSS for Beginners 4: Regression found at http://www.youtube.com/watch?v=JVwEdhEiGJg.
- You are not required to submit this assignment to Turnitin.
Directions:
View SPSS for Beginners 4: Regression located at http://www.youtube.com/watch?v=JVwEdhEiGJg.
Open SPSS and complete the following:
- Obtain an output with a simple linear regression and a scatterplot graph (as in the tutorial) using the values as seen below.
Caffeine Dose
IQ Score
50
100
60
102
80
107
90
105
110
112
150
108
150
103
160
109
180
109
200
112
200
120
210
114
210
118
220
121
220
120
250
130
260
127
260
131
280
132
300
135
2. Highlight the model summary and coefficients table.
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***************************************** ****************************** **************** ********************************* Dependent ********* IQScoreb *** ********* variables entered Model *************** SquareAdjusted * SquareStd Error of the Estimate1917a8408314461a *********** ********** CaffeineDoseb ********* ********* ************************* ** ************* SquareFSig1Regression18815191188151994541000bResidual3582311819902 Total223975019 a Dependent Variable: IQScoreb *********** ********** ******************************************************** CoefficientsStandardized CoefficientstSigBStd ******************************************************************** Dependent ********* ********************** ********************************** ******************* Value98021316011575995120Residual-84525919000434220Std Predicted ************************** Residual-1895132700097320a ********* ********* ********************************************************** *********************** Highlighting the ***** *********** ***** ******** ***** **** is *** *********** *********** ** ***** *** good a ************ ****** ******* the dependent *** independent ******** ** ****** ****** ** ** * with being no *********** *** * perfect positive *********** while ** ** ******* ******** correlation ** *** **** ** **** ****** **** value ** ***** to 1 *** **** ** have a **** ****** ******** ************ ******* ******** *********** *** ** ************** **** ** *** *********** of ************* It ****** ** *** much *** variation ** * ** ********* ** X ** is mostly ****** as * ********** ** *** case ** **** **** ***** ** ***** ** *** **** 84% of ********* ** the ** ***** ** ********* by ******** consumptionAdjusted ********* ** ** * ******** version of R-squared that *** **** adjusted *** *** number ** ********** ** the model *** ******** ********* increases **** if *** *** term improves *** model **** **** ***** ** ******** ** ****** It ********* **** a ********* ******** *** model ** **** **** expected by chanceStandard ****** **** is * ***** **** ***** *** **** *** ***** ** ******* values ****** * ****** model ***** ***** ****** ******** **** *********** *** error Highlighting *** ************ ********* *** coefficient ***** ** *** *** *** ****** for or ********** ******** ** be **** ** ***************** is *** ********* ****** ** the * ********** ** *** slope of *** ****** graphX ** *** *********** variable From *** ***** ** have ******* *** ****** ****** values *** on *** * ****************** we *** ***** our equation ******************
