Statistics assignment

Executive Summary Although it is difficult to predict the probability of success for a movie before it has been created, there are factors in previous movies that have been considered. The quality of the movie and appeal of the story line are obvious influences but are difficult to measure. This report analyses the influence of some measurable factors in the ratings of TV movies. It examines the importance of a movie being fact or fiction …

…Lower 95.0%Upper 95.0% Intercept9.30.79680911.671553.07E-097.6108410.989167.6108410.98916 Fact4.250.8247765.1529139.63E-052.5015535.9984472.5015535.998447 Stars1.950.8247762.3642780.0310450.2015533.6984470.2015533.698447 Exhibit 5 NBC Regression Regression Statistics Multiple R0.351597 R Square0.123621 Adjusted R Square0.040156 Standard Error1.516618 Observations24 ANOVA dfSSMSFSignificance F Regression26.8135063.4067531.4811130.250189 Residual2148.302742.300131 Total2355.11625 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept12.874730.43701929.460341.45E-1811.965913.7835611.965913.78356 X Variable 10.5350180.6280340.8518930.403884-0.771051.841087-0.771051.841087 X Variable 21.1512640.7624041.5100430.145933-0.434242.736771-0.434242.736771 Exhibit 6 CBS Regression Regression Statistics Multiple R0.501474 R Square0.251476 Adjusted R Square0.203185 Standard Error1.734333 Observations34 ANOVA dfSSMSFSignificance F Regression231.32715.66355.2074320.011225 Residual3193.245293.007913 Total33124.5723 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0% Intercept13.786110.48361228.506528.34E-2412.7997714.7724412.7997714.77244 Fact1.4784350.6503992.2731180.03010.1519362.8049340.1519362.804934 Star1.540980.5268842.9247050.0063950.4663932.6155670.4663932.615567