1.

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).

2.

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).

3.

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).

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