Movie Twitter Activity Receipts The Devil Inside 219509 14763 The Dictator 6405 5796 Paranormal Activity 3 165128 15829 The Hunger Games 579288 36871 Bridesmaids 6564 8995 Red Tails 11104 7477 Act of Valor 9152 8054 The independent variable is twitter activity The dependent variable is receipts The null hypotheses is that there is no relation between Twitter activity and receipts. Alternate hypotheses is that there is a relation between Twitter activity and receipts. The R-squared value is 0.9759. This means there is 97.59% variation in the table explained by the linear relationship between Twitter Activity and Receipts. The correlation coefficient between Twitter activity and receipts is 0.9878 or if you round it would be 0.988 and it interprets that there is a strong linear relation of Twitter activity to receipts since it is very close to 1. The level of significance is 0.05 making the p-value 0.00003063. The p-value is less than the level of significance.You would reject the null hypothesis because the p value is less than the level of significance. There is significant evidence of a relationship between twitter activity and receipts. Based upon your answers above, provide us with a paragraph (3-4 sentence) conclusion that would be appropriate to explain the results to a senior executive that isn’t as familiar with statistics as you are!
|
Movie |
Twitter Activity |
Receipts |
|
The Devil Inside |
219509 |
14763 |
|
The Dictator |
6405 |
5796 |
|
Paranormal Activity 3 |
165128 |
15829 |
|
The Hunger Games |
579288 |
36871 |
|
Bridesmaids |
6564 |
8995 |
|
Red Tails |
11104 |
7477 |
|
Act of Valor |
9152 |
8054 |
The independent variable is twitter activity
The dependent variable is receipts
The null hypotheses is that there is no relation between Twitter activity and receipts.
Alternate hypotheses is that there is a relation between Twitter activity and receipts.
The R-squared value is 0.9759. This means there is 97.59% variation in the table explained by the linear relationship between Twitter Activity and Receipts.
The
The level of significance is 0.05 making the p-value 0.00003063. The p-value is less than the level of significance.
You would reject the null hypothesis because the p value is less than the level of significance. There is significant evidence of a relationship between twitter activity and receipts.
Based upon your answers above, provide us with a paragraph (3-4 sentence) conclusion that would be appropriate to explain the results to a senior executive that isn’t as familiar with statistics as you are!
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