SOC 390 SPSS Assignment Regression

Question 1

1 / 1 pts

Open the attached SPSS data file. This data set contains information about campaigns and election results for senatorial candidates in several states. A researcher is interested in whether the production quality of a candidate’s campaign materials (i.e,. the quality of their website, television ads, and campaign videos) can be used to predict the percentage of votes that they will receive in an election. The “Quality” variable represents the production quality of campaign materials and the “Votes” variable represents the percentage of votes that the candidate received in their election.

Use the data to run a regression analysis in SPSS.

Based on the results of your analysis, the squared correlation between the observed and predicted scores of the “Votes” variable is equal to ______ . Enter your value with three decimal places. Do not include a zero to the left of the decimal point (i.e., .111, not 0.111, not .11, not .1).

IncorrectQuestion 2

0 / 1 pts

The ANOVA table included in your output tests the statistical significance of:

the correlation between “Votes” and “Quality”.

the squared correlation between the observed and predicted scores on the “Votes” variable.

the squared correlation between the observed and predicted scores on the “Quality” variable.

the analysis of variance examining group differences in the dependent variable across the levels of the factor.

Question 3

1 / 1 pts

From the results of your regression analysis, you can conclude that the R2 value is statistically significant. You can draw this conclusion because the ________ used to test the R2 have a p-value less than .05.

F-statistic

t-value

unstandardized coefficient

standardized coefficient

Question 4

1 / 1 pts

Based on the results of your analysis, the unstandardized slope of the regression equation is ________. Enter your answer with three decimal places (i.e., 10.111, not 10.01, not 10, not 10.1).

Question 5

1 / 1 pts

The relationship between quality and votes is:

negative and statistically significant.

negative and not statistically significant.

positive and not statistically significant.

positive and statistically significant.

Question 6

1 / 1 pts

The standardized regression coefficient for this analysis indicates that for a one standard deviation increase in quality, a candidate should expect a ________ standard deviation increase in the percentage of votes they receive.

Enter your value with three decimal places. Do not include a zero to the left of the decimal point (i.e., .111, not 0.111, not .11, not .1).

Question 7

1 / 1 pts

Based on your results, what percentage of votes would you predict that a candidate would receive if they had a score of 0 on their production quality? Enter your answer with three decimal places (i.e., 10.111, not 10.11, not 10.1, not 10).

Question 8

1 / 1 pts

In the next election, a new candidate aims to develop materials with a quality rating of 10. Based on the regression equation that you generated in SPSS, what percentage of votes could this candidate expect to receive? Enter your answer rounded to two decimal places (i.e., 10.11, not 10.001, not 10.1, not 10).

Question 9

1 / 1 pts

When creating a regression equation using the standardized regression coefficients, you should include the Y-intercept.

True

False

Question 10

1 / 1 pts

You CAN do statistics! I promise! (Select TRUE!)

True

False

Quiz Score: 9 out of 10

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