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1. I TESTED THIS AND IT WORKED SO IT SHOULD WORK FOR YOU
Run a bivariate logistic regression with the following from the GSS2008 dataset (A UPDATED GSS08 HAD BEEN UPLOADED):
Dependent variable: OWNGUN (should be located near the bottom of the list)
Independent variables: DEGREE, SEX, AGE, RACE
If you do not get a "Categorical Variables; Codings box in between the Model Summary and Classification Table, let me know.
Explain and interpret the results based on the reading.
2. PSPP Exercises 1-3 from the chapter 8 reading.
Note that the reading is set up for SPSS but it works with PSPP.
The use of the term covariate is the same as independent variable.
Please USE the GSS10 data set for exercises 1-3
3. PSPP Exercises 4-6 from the chapter 8 reading.
Note that the reading is set up for SPSS but it works with PSPP.
The use of the term covariate is the same as independent variable. I have provided help for Question 4 by including the recoded variables in the data set (check at the end).
Please USE the GSS08 data set for exercises 4-6.
Assignment 2
PSPP Exercises 4-6 from the chapter 8 reading.
Note that the reading is set up for SPSS but it works with PSPP.
The use of the term covariate is the same as independent variable.
Please USE the GSS08 data set for exercises 4-6. Please note that the chapter is for a different statistical software package, so if you have any questions, let me know.
4. Constant =
Logistic Regression Coefficient for BLACK (OR RACE1) =
Odds ratio for BLACK =
Logistic Regression Coefficient for OTHER1 (OR RACE2) =
Odds ratio for OTHER1 =
Logistic Regression Coefficient for SEI =
Odds ratio for SEI =
Logistic Regression Coefficient for AGE =
Odds ratio for AGE =
Which Relationships are Significant?
Are African Americans more supportive or less supportive of spanking than other races?
More Less No Effect
Are older people more supportive of spanking than younger people?
More Less No Effect
Are people with higher socioeconomic statuses more supportive or less supportive of spanking than those in lower statuses?
More Less No Effect
5.Using the output from the previous logistic regression, predict the probability of a person being in support of spanking if the respondent has the average SEI (47.86), is White (is neither Black or Other), and is 30 years old. So, for the 2 race variables, the value is 0.
Step 1. Generate the log-odds using the formula:
Log-odds = A + B1(X1) + B2(X2) + B3(X3) + B4(X4)
Log-odds =
Step 2. Generate the odds using the formula:
Odds = Exp A + B1(X1) + B2(X2) + B3(X3) + B4(X4)
Odds =
Step 3. Generate the probability using the formula:
Probability = Odds / 1 + Odds
Probability =
6. Using the output from the previous logistic regression, predict the probability of a person being in support of spanking if the respondent has the average SEI (47.86), is BLACK, and is 30 years old.
Step 1. Generate the log-odds using the formula:
Log-odds = A + B1(X1) + B2(X2) + B3(X3) + B4(X4)
Log-odds =
Step 2. Generate the odds using the formula:
Odds = Exp A + B1(X1) + B2(X2) + B3(X3) + B4(X4)
Odds =
Step 3. Generate the probability using the formula:
Probability = Odds / 1 + Odds
Probability =

1.

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Latest reviews for Cameron

January 16, 2017

milkaray12371

thank you for being fast

January 7, 2017

loyd123472

Cameroon is a good researcher

January 6, 2017

loyd123472

very efficient