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# Stat - Coursework Example

Summary
The average of price is 160,763.78 with Standard deviation 80,386.06 and standard error 2246.86. The coefficient of variation is 50% The skewness is 2.042 which means the data is positively skewed and kurtosis…

## Extract of sample"Stat"

Download file to see previous pages From the above table it is observed that the mean filmadmissions of quarter 1 (April-June) is the lowest with 13,173,422.8 and the highest is of the second quarter (July-Septermber) with 14,970,853.11.
From the above ANOVA table we observe that there is no significant difference in the mean admission between the quarters as the probability of significance is 0.527 (>0.05). Hence all the seasons are homogeneous (on par) with regard to mean admission.
From the above ANOVA table we observe that there is no significant difference in the mean admission between the years as the probability of significance is 0.848 (>0.05). Hence all the years are homogeneous (on par) with regard to mean admission.
Interpretation: The regression equation is given by y = -119,506.78x + 1,092,063.39 where x represents weeks on release and y represents weekend total. The correlation is given by -0.33 which is very weak. When there is an increase of weeks, the weekend total gets decreased in general, but still we cannot make a sure conclusion because some other factors may be involved in deciding the weekend total.
From the above table it is found that the multiple correlation is 0.33 and R squared is 0.11 which indicates that only 11% of dependent variable weekend total is explained through independent variable weeks after release.
From the above table, it is inferred that the regression coefficient is not significant since the probability of significance is 0.23 (>0.05), hence the independent variable weeks on release is not a better predictor for the dependent variable weekend total.
From the above table it is inferred that the regression coefficient is not significant whereas the constant (intercept) is significant at 5% level (p value =0.018 ...Download file to see next pagesRead More
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