POLS210

Assignment 14

Regression

[Note: The following instructions are written to help you complete the assignment. (However, they are still not enough to replace the entire lecture. If you missed the lecture, you would probablly have many problems understanding the instructions. If you face problems, try to complete the assignment as much as you can before you come to class and ask the instructors some specific questions.) Reading the required reading may also help you complete the assignment.]

Do not include any wrong or unnecessary output and make sure that the tables are organized well.

The following link shows an example of SPSS output.

1. Use the NES2004AStudent dataset and analyze the impact of AGE on BUSH_THERM and find out if the results support the directional hypothesis that older people have warmer feelings toward Bush than younger people.

(SPSS: Analyze--Regression--Linear ).

Make sure to include the following

1. State the null hypothesis

2. Analyze the impact of Age.

a. Highlight the number that shows statistical significance.

b. Do you reject the null hypothesis?

c. Is the relationship statistically significant?

d. What is the confidence level that this variable is reaching?

e. Underline the number that shows the slope.

f. Is the relationship positive or negative?

g. Read the slope coefficient substantively.

h. Do the results support your directional hypothesis?

i. Interpret the adjusted R^{2}

^{ (e.g.
"The model explains _% of the variation in the dependent variable.")}

2. Use the NES2004BStudent dataset and analyze the impact of AGE on DEM_THERM after controlling for GAY_THERM, RACE_2 and GENDER. Suppose you are hypothesizing that younger people have warmer feelings toward the Democratic Party than older people. (SPSS: Move All four X variables to the "Independent" box and click OK.)

1. State the null hypothesis

2. Analyze the impact of Age.

a. Highlight the number that shows statistical significance.

b. Do you reject the null hypothesis?

c. Is the relationship statistically significant?

d. What is the confidence level that this variable is reaching?

e. Underline the number that shows the slope.

f. Is the relationship positive or negative?

g. Read the slope coefficient substantively.

h. Do the results support your directional hypothesis after controlling for GAY_THERM, RACE_2 and GENDER?

i. Interpret the adjusted R^{2}