1.

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).

2.

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.

3.

From the results of your regression analysis, you can conclude that the R2value is statistically significant.You can draw this conclusion because the ________ used to test the R2have a p-value less than .05.

t-value

standardized coefficient

unstandardized coefficient

F-statistic

4

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).

Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 1 .654a .428 .370 15.23318 a. Predictors: (Constant), Quality ANOVAa Sum of Model Squares df Mean Square F Sig. 1 Regression 1733.405 1 1733.405 7.470 .021b Residual 2320.498 10 232.050 Total 4053.902 11 a. Dependent Variable: Votes b. Predictors: (Constant), Quality Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig 1 (Constant) 15.129 12.420 1.218 251 Quality 6.579 2.407 .654 2.733 021 a. Dependent Variable: Votes