Statistics help needed I used SPSS to run Hierarchical Regression Analysis with

Question

Statistics help needed

I used SPSS to run Hierarchical Regression Analysis with “age” as the first IV, “anger” as the second IV, and “perceived threat” as the DV

I have posted the data output below to answer the questions.

For the next two questions, comment on how well the data meet the following assumptions for regression analysis, providing the appropriate metrics from your output to support your answer.

i. Normality of your DV

NOTE: In your answer, please be sure to state and interpret the statistical significance associated with this test.

ii. Independence of Observations

NOTE: In your answer, please be sure to state and interpret the value associated with this test.

Explanation / Answer

a) what is the statistcal sgnificance

model 1 = 0.409

model 2= 0.00

As the p-value is much less than 0.05, we reject the null hypothesis that ? = 0. Hence there is a significant relationship between the variables in the linear regression model of the data set faithful .

b) How much variation expained by variabe

age = 0.003

both age and the level of anger someone felt during war =0.119

C) regrssion equation model 1

Y= 17.485 + 0.332 b1

regrssion equation model 2

Y=-5.175 + 0.381 b1 +40526 b2

This is the regression equation of model 1 and model2 .

Two questions

i) Normality of your DV

The Residuals section of the model output breaks it down into 5 summary points. When assessing how well the model fit the data, you should look for a symmetrical distribution across these points on the mean

thats why dv variable is normal

II) Independence of Observation

we can see this assumption scatter plot if scatter plot show random pattern observation then we say that the

independence of observations.

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