Multiple Regression-FORCED-ENTRY HIERARCHICAL MODEL Dennessa Gooden/ Samantha Okegbe COM 6/7 Spring 08 Data: Film & TV Usage 05 IVs Block : Demographics Q: Age Q: Education Q: Income I. MODEL Block : Movie Attraction Qb: Director of film Qc: Stars of Film Qd: Recency of film Block : Repeat Viewing Qa: Often watch a film again and again DV Movie Cheer Up QfREV: [Re going to movies at the theater:] I watch movies when I feel down to cheer me up [Note: We did a reverse code of the Qf responses] Qh: Seen film so often I know much of the dialogue Block : Movie Preference Q8c: Horror Q8f: Comedy Films Q8i: Action Films Q8j: Animated Films
II. RUNNING SPSS ) Analysis Regression Linear
) Select dependent variable: QfREV Click variable name arrow
) Select Independent variable(s) for block Click Independent variable names arrow
5 ) Move to Block by clicking next Note: Make sure your Method says Enter.
6 5) Select Independent Variables for Block Click variable names arrow Note: Screenshots for blocks & are not shown
7 6) Click Statistics Check Estimates, Model fit, R squared change, Descriptives, Part and partial correlations, Collinearity diagnostics. Click Continue
8 7) Click Plots Click *ZRESID to Y and *ZPRED to X Check Histogram and Normal probability plot Click Paste, and then run syntax.
RECODE Qf (=) (=) (=) (=) INTO QfREV. EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.0) /NOORIGIN /DEPENDENT QfREV /METHOD=ENTER Age Education Income /METHOD=ENTER Qb Qc Qd /METHOD=ENTE R Qa Qh /METHOD=ENTER Q8c Q8f Q8i Q8j /SCATTERPLOT=(*ZRESID,*ZPRED ) /RESIDUALS HIST(ZRESID) NORM(ZRESID). 9 Regression Descriptive Statistics QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Mean Std. Deviation N.975.9500 6.68.5 6.6.95 6.7. 6.8.898 6.6.599 6.9.885 6 5.0.85 6.68.0 6.78.98 6..89 6.95.6 6.57.97 6 Page
Correlations 0 Pearson Correlation QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qb. How important The director QfREV Age Education Income of the film..000 -.7 -.5 -.9.8 -.7.000.00.56 -.07 -.5.00.000. -.09 -.9.56..000 -.06.8 -.07 -.09 -.06.000.0.05 -.0 -.0..98 -.056.00.0.07 -.09.06 -.00 -.07.07.0 -.7 -.070 -.00..06 -.5 -.58 -.055.097.07 -.06 -.07.0 -.00 -.067 -.057.00.078.09.06 -.9.0.00.07 Page
Correlations Sig. (-tailed) QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qb. How important The director QfREV Age Education Income of the film...000.00.000.007.000..55.00.8.00.55..000.75.000.00.000..5.007.8.75.5..05.59.08.09.000.000..5.07.000.7.7.8.0.08.7.0.09.95.06..005.00.50.0.088..06.6..0.8.90.068.7.9.000.6.7.0 Page
Correlations N QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qb. How important The director QfREV Age Education Income of the film. 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 Page
Correlations Pearson Correlation QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the new the film is. dialogue..0.98 -.09.0.05 -.056.06 -.7 -.0.00 -.00 -.070 -.0.0 -.07 -.00..07.07..000.55.0.5.55.000 -.009 -.05.0 -.009.000.6.5 -.05.6.000.09.07.08.05.6.5.8.95.68.0.056.09.086.0.068.077 Page 5
Correlations Sig. (-tailed) QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the new the film is. dialogue..05.000.7.7.59..7.0.08.5.8.09.09.07.0.95.000.000.08.06..000.000.000.000...58.000...000.000.58.000..0.089.98.0.000.009.000.000.00.0..06.05.67.098.07 Page 6
Correlations 5 N QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the new the film is. dialogue. 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 Page 7
Correlations 6 Pearson Correlation QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated.06.07 -.067.06 -.5 -.06 -.057 -.9 -.58 -.07.00.0 -.055.0.078.00.097 -.00.09.07.09.6.68.086.07.5.0.0.08.8.056.068.05.95.09.077.000.9. -.08.9.000.9.7..9.000.0 -.08.7.0.000 Page 8
Correlations 7 Sig. (-tailed) QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated..088.0.9.005..8.000.00.06.90.6.50.6.068.7.0..7.0.0.000.00.05.089.009.0.67.98.000..098.0.000.06.07..00.0..00..000.000.0.000..000..000.000. Page 9
Correlations 8 N QfREV Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 Page 0
Variables Entered/Removed b 9 Model Variables Variables Entered Removed Method Income, Age, Education a. Enter Qd. How important The recency of the film s release/ho w new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film. a Qa. I often watch a favorite film again and, Qh. I ve seen some so often that I know much of the dialogue. a Q8i. How often Action, Q8c. How often Horror, Q8j. How often Animated, Q8f. How often Comedy a. Enter. Enter. Enter a. All requested variables entered. b. Dependent Variable: QfREV Page
Model Summary e 0 Model Adjusted R Std. Error of R R Square Square the Estimate.60 a.067.060.9. b..096.9050.9 c.5.095.907.56 d.7.097.9005 Model Summary e Model Change Statistics R Square Change F Change df df Sig. F Change.067 8.66 59.000.0 5.76 56.00.005.90 5.0.0. 50. a. Predictors: (Constant), Income, Age, Education b. Predictors: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film. c. Predictors: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film., Qa. I often watch a favorite film again and, Qh. I ve seen some so often that I know much of the dialogue. d. Predictors: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film., Qa. I often watch a favorite film again and, Qh. I ve seen some so often that I know much of the dialogue., Q8i. How often Action, Q8c. How often Horror, Q8j. How often Animated, Q8f. How often Comedy e. Dependent Variable: QfREV ANOVA e Model Regression Residual Total Regression Residual Total Regression Residual Total Regression Residual Total a. Predictors: (Constant), Income, Age, Education Sum of Squares df Mean Square F Sig..055 7.5 8.66.000 a 0.7 59.89 6.777 6 6.7 6 6.09 7.85.000 b 90.606 56.86 6.777 6 7.658 8.707 5.76.000 c 89.9 5.87 6.777 6.5.6.6.000 d 85.5 50.85 6.777 6 b. Predictors: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film. c. Predictors: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film., Qa. I often Page watch a favorite film again and, Qh. I ve seen some so often that I know much of the dialogue. d. Predictors: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film., Qa. I often
Coefficients a Model (Constant) Age Education Income (Constant) Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. (Constant) Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Unstandardized Standardized Coefficients Coefficients B Std. Error Beta t Sig..06..579.000 -.0.00 -.9 -.89.00 -.0.055 -.07 -.985.08 -.055.0 -. -.65.0.596.8 9.89.000 -.0.00 -.7 -.680.008 -..05 -. -.0.06 -.05.0 -. -.78.0.0.08.067.0.7.005.05.008.0.896.09.07.80..00.60.09 8.56.000 -.00.00 -.6 -.0.06 -..05 -.08 -.07.0 -.056.0 -.7 -.56.0.0.08.065.65.5.007.06.0.89.850.09.08.8.9.00 -.05.0 -.087 -.8.8.00.0.06.95. Page
Coefficients a Model (Constant) Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Unstandardized Standardized Coefficients Coefficients B Std. Error Beta t Sig..68.79 6.99.000 -.00.00 -. -.9.05 -..055 -.08 -.0.05 -.05.0 -. -.55.05.06.08.07.69.05.007.07.0.8.856.089.08.76..00 -.05.0 -.0 -.5.7.0.0.066.98.6.00.0.00.057.95.050.0.06.6.57 -.077.0 -.00 -.87.066.0.07.0.6.50 Page
Coefficients a Model (Constant) Age Education Income (Constant) Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. (Constant) Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Correlations Zero-order Partial Part Collinearity Statistics Tolerance VIF -.7 -.5 -.7.975.06 -.5 -.0 -.0.900. -.9 -.9 -.6.879.8 -.7 -. -..960.0 -.5 -. -.05.897.5 -.9 -.0 -..876..8.06.060.8..0.007.007.76.58.98.7.67.86.6 -.7 -.7 -.0.90.087 -.5 -.08 -.0.89. -.9 -.5 -.8.870.50.8.06.058.80..0.00.009.68.6.98.75.67.89.9 -.09 -.07 -.067.59.686.0.05.08.566.768 Page 5
Coefficients a Model (Constant) Age Education Income Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated a. Dependent Variable: QfREV Correlations Zero-order Partial Part Collinearity Statistics Tolerance VIF -.7 -.9 -..868.5 -.5 -.07 -.0.87.7 -.9 -.0 -..859.6.8.068.06.790.65.0.00.009.6.556.98.70.6.8.0 -.09 -.08 -.076.579.78.0.05.09.56.779.06.00.00.90.07.07.06.057.8.9 -.067 -.098 -.09.859.65.06.0.0.8.0 Page 6
Excluded Variables d 5 Model Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Beta In t Sig. Partial Correlation.08 a.8.05..0 a.99.07.05.97 a.97.000.0 -.0 a -.80. -.0.007 a.6.89.007.0 a.97.69.0.06 a.5..066 -.066 a -.8.0 -.068.0 a.05.685.0 -.09 b -.956.0 -.05.009 b.7.86.009.00 b.09.985.00.0 b.88.97.05 -.080 b -.57.7 -.08.0 b.8.778.05 -.00 c -.08.969 -.00.055 c.07.0.055 -.08 c -.588. -.08.08 c..7.08 Page 7
Excluded Variables d 6 Model Qb. How important The director of the film. Qc. How important The star(s) of the film. Qd. How important The recency of the film s release/how new the film is. Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Q8c. How often Horror Q8f. How often Comedy Q8i. How often Action Q8j. How often Animated Collinearity Statistics Minimum Tolerance VIF Tolerance.99.007.877.99.006.877.995.005.879.997.00.878.980.00.877.957.05.879.99.007.876.988.0.87.96.00.878.9.06.700.898..687.95.058.75.90.098.687.956.06.75.95.05.79.90.06.56.87.6.565.95.08.565.98.055.566 a. Predictors in the Model: (Constant), Income, Age, Education b. Predictors in the Model: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film. c. Predictors in the Model: (Constant), Income, Age, Education, Qd. How important The recency of the film s release/how new the film is., Qb. How important The director of the film., Qc. How important The star(s) of the film., Qa. I often watch a favorite film again and, Qh. I ve seen some so often that I know much of the dialogue. d. Dependent Variable: QfREV Page 8
Collinearity Diagnostics a 7 Model Dimension 5 6 7 5 6 7 8 9 5 6 7 8 9 0 Condition Eigenvalue Index.759.000.8 5..078 6.959.05.90 6.7.000.75.765.89 5.75.9 6.968.07 9.6.066 9.70.0 7.6 7.995.000.77 5.68.5 5.8.7 6.77. 8.079.070 0.680.06.5.06.67.09 0.709.95.000.85 6.5. 6.86. 7.56.79 8.0.55 8.60. 9.65.07.79.06.7.06.706.05.905.0 6..0 9.08 Page 9
Collinearity Diagnostics a 8 Variance Proportions Model Dimension 5 6 7 5 6 7 8 9 5 6 7 8 9 0 Qb. How important The director of the film. Qc. How important The star(s) of the film. (Constant) Age Education Income.00.0.00.0.0..00.88.0.6.8.0.9..7.0.00.00.00.00.00.00.00.0.0.0..0.00.0.00.00.6.00.0..00.60.6.0.0.9...0.0.00.0.0.08.9.8.96.9.55.00.0.0.00.00.00.00.00.00.00.0.0.5..0.00.0.0..0.00.00.0.00.08.50.00.0.8.00..0.0.0.9.8.0.00.08.00.0.0.00.9.8.00.09.00.0.00.0.97..9.00.0.0.00.00.00.00.00.00.00.0.0...0.00.0.0.0.00.00.00.00.00.0..0.00.0.00..7.00.00.0.00.0.0.00.00.7.00.6.0.0.00.0..0.0..00.0.9..0.5.00..5.0.0.09.00.00.08.0..8.00.07.00.0.0..98.5.5.00.0.00 Page 0
Collinearity Diagnostics a 9 Model Dimension 5 6 7 5 6 7 8 9 5 6 7 8 9 0 Qd. How important The recency of the film s release/how new the film is. Variance Proportions Qa. I often watch a favorite film again and Qh. I ve seen some so often that I know much of the dialogue. Q8c. How often Horror.00..68.0.07.0.00.00.00.00.7.00.00..05..5.0.0.0.00.07.0.00.0.8.09.00.0.8.7.0.0.05.00.00.00.00.5.00.00.0..0.07.7.0.0.0.57.7.0.0.05.0.0.07.00.0.00.06.00.0.0.00.0.0.00.0.0.0.0.0.0.0...0.0.7.55.0.0.00.0.07 Page
Collinearity Diagnostics a 0 Variance Proportions Model Dimension 5 6 7 5 6 7 8 9 5 6 7 8 9 0 Q8f. How often Comedy a. Dependent Variable: QfREV Q8i. How often Action Q8j. How often Animated.00.00.00.00.00.00.00.00.00.00.00.00.0.00.05.00.05.5.00.00.0.0..5..6..5.0.5.7.06.08.6.0.00.06.0.05 Residuals Statistics a Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: QfREV Minimum Maximum Mean Std. Deviation N.080.885.975.798 6 -.5999.565.00000.88796 6 -.67.69.000.000 6 -.77.70.000.98 6 Page
Charts Histogram Dependent Variable: QfREV 0 5 Frequency 0 5 0 5 0 - - 0 Regression Standardized Residual Mean = -.0E-6 Std. Dev. = 0.98 N = 6 Page
Normal P-P Plot of Regression Standardized Residual.0 Dependent Variable: QfREV 0.8 Expected Cum Prob 0.6 0. 0. 0.0 0.0 0. 0. 0.6 0.8.0 Observed Cum Prob Page
Scatterplot Dependent Variable: QfREV Regression Standardized Residual 0 - - - - - 0 Regression Standardized Predicted Value Page 5
IV. Tabling Hierarchical Multiple Regression Predicting Movie Cheer Up PREDICTED VARIABLE r FINAL BETA R CHANGE TOTAL R. Demographics.067***.067*** Age -.7*** -.* Education -.5** -.08* Income -.9*** -.*. Movie Attraction.0**.*** Qb: Director of the film.8**.07 Qc: The stars of the film.0*.0 Qd: The recency of the film.98***.76**. Repeated Viewing.005.5*** Qa: Often watch movie -.09 -.0 again and again Qh: Know much of the dialogue.0.066. Movie Viewing Patterns.0.7*** Q8c: Horror.06.00 Q8f: Comedy.07 a.06 Q8j: Action -.067 -.00 a Q8j: Animated.06.0 R =.7 Adjusted R =.097 F =.6, df =,50, p <.00 Note: a.05 < p <.0 *p <.05; **p <.0; ***p <.00
5 V. The Write Up Write Up of Results In the prediction of going to the movie theater to cheer oneself up when one is down ( Movie Cheer Up ), a four-block hierarchical multiple regression analysis was conducted. Multicollinearity was not a serious concern, as all tolerances werer.56 and above. The analysis result indicates that predictors explain.7% of the total variance of Movie Cheer Up (F (, 50) =.6, p <.00). First, block, which included the Demographics of Age, Education, and Income, explained 6.7% of the total variance of Movie Cheer Up (F (, 59) = 8.66, p <.00). All demographics were significant unique predictors: Age (final Beta = -., p <.05), Education (final Beta = -.08, p <.05), and Income (final Beta = -., p <.05). As a result, we concluded that demographics do play a significant role in predicting Movie Cheer Up, including when controlling for all of the other independent variables in all four blocks. All these independent variables in block had negative significant unique relationships with Movie Cheer Up. Thus, this means that the older a person is, the more educated and the more their income, the less likely they are to go to a movie theater to watch a film to be cheered up, when all other variables in the full model are controlled for. Second, block, Movie Attraction (with items measuring attraction to film because of the director of the film, the stars of the film, and recency of the film release), explained an additional.% of the total variance of Movie Cheer Up (F (, 56) = 5.76, p =.00). Recency of the film release (final Beta =.76, p <.0) was the only significant unique predictor of Movie Cheer Up.
6 As a person s reliance on the recency of the film increases, Movie Cheer Up increases, when all other predictors in the full regression model are controlled for. The third block, Repeated Viewing, explained only an additional 0.5% of total variance of Movie Cheer Up (F (, 5) =.90, ns). There were no significant unique predictors for block. The fourth block, Movie Viewing Patterns, including frequency of viewing horror movies, comedy, action, and animated movies, explained an additional.% of total variance of Movie Cheer Up (F (, 50) =., ns). How often people view action had a nearly significant unique prediction (final Beta = -.00, a.05 < p <.0) that was negative. As action film viewing increases, Movie Cheer Up decreases, when all other predictors in the full regression model are controlled for. Overall, this analysis included four separate blocks of predictor variables that as a whole did contribute a significant amount of variance to the prediction of Movie Cheer Up, as indicated by the significant R for the total equation. Block (Demographics) and Block (Movie Attraction) both contributed a significant amount of variance to the prediction of Movie Cheer Up as indicated by significant R change figures for each block. Blocks and did not contribute a significant amount of variance to the prediction of Movie Cheer Up. Also, the Beta coefficients indicated that when controlling for the impact of all other variables in the final equation, there are four independent variables that maintained significant unique contributions toward Movie Cheer Up. This is indicated by the four significant final Betas. Greater tendency to go to the movie theater to cheer up when one is down is uniquely predicted by younger age, lower education, lower income, and being attracted to a film because of its recency.